├── .DS_Store ├── .gitignore ├── .ipynb_checkpoints ├── binary_to_trimap-checkpoint.ipynb └── trimap_tutorial-checkpoint.ipynb ├── LICENSE ├── README.md ├── __pycache__ ├── trimap_generate.cpython-36.pyc └── trimap_module.cpython-36.pyc ├── archive ├── binary_to_trimap.ipynb ├── trimap_module_20190519.py └── trimap_module_20190811.py ├── assets ├── .DS_Store ├── contours │ ├── point_mask_0.txt │ ├── point_mask_1.txt │ ├── point_mask_10.txt │ ├── point_mask_11.txt │ ├── point_mask_12 2.txt │ ├── point_mask_12.txt │ ├── point_mask_13 2.txt │ ├── point_mask_13.txt │ ├── point_mask_14 2.txt │ ├── point_mask_14.txt │ ├── point_mask_15 2.txt │ ├── point_mask_15.txt │ ├── point_mask_16 2.txt │ ├── point_mask_16.txt │ ├── point_mask_17 2.txt │ ├── point_mask_17.txt │ ├── point_mask_18 2.txt │ ├── point_mask_18.txt │ ├── point_mask_19 2.txt │ ├── point_mask_19.txt │ ├── point_mask_2 2.txt │ ├── point_mask_2.txt │ ├── point_mask_20 2.txt │ ├── point_mask_20.txt │ ├── point_mask_21 2.txt │ ├── point_mask_21.txt │ ├── point_mask_22 2.txt │ ├── point_mask_22.txt │ ├── point_mask_23 2.txt │ ├── point_mask_23.txt │ ├── point_mask_24 2.txt │ ├── point_mask_24.txt │ ├── point_mask_25 2.txt │ ├── point_mask_25.txt │ ├── point_mask_26 2.txt │ ├── point_mask_26.txt │ ├── point_mask_27 2.txt │ ├── point_mask_27.txt │ ├── point_mask_28 2.txt │ ├── point_mask_28.txt │ ├── point_mask_29 2.txt │ ├── point_mask_29.txt │ ├── point_mask_3 2.txt │ ├── point_mask_3.txt │ ├── point_mask_30 2.txt │ ├── point_mask_30.txt │ ├── point_mask_31 2.txt │ ├── point_mask_31.txt │ ├── point_mask_32 2.txt │ ├── point_mask_32.txt │ ├── point_mask_33 2.txt │ ├── point_mask_33.txt │ ├── point_mask_34 2.txt │ ├── point_mask_34.txt │ ├── point_mask_35 2.txt │ ├── point_mask_35.txt │ ├── point_mask_36 2.txt │ ├── point_mask_36.txt │ ├── point_mask_37 2.txt │ ├── point_mask_37.txt │ ├── point_mask_38 2.txt │ ├── point_mask_38.txt │ ├── point_mask_39 2.txt │ ├── point_mask_39.txt │ ├── point_mask_4 2.txt │ ├── point_mask_4.txt │ ├── point_mask_40 2.txt │ ├── point_mask_40.txt │ ├── point_mask_41 2.txt │ ├── point_mask_41.txt │ ├── point_mask_42 2.txt │ ├── point_mask_42.txt │ ├── point_mask_43 2.txt │ ├── point_mask_43.txt │ ├── point_mask_44 2.txt │ ├── point_mask_44.txt │ ├── point_mask_45 2.txt │ ├── point_mask_45.txt │ ├── point_mask_46 2.txt │ ├── point_mask_46.txt │ ├── point_mask_47 2.txt │ ├── point_mask_47.txt │ ├── point_mask_48 2.txt │ ├── point_mask_48.txt │ ├── point_mask_49 2.txt │ ├── point_mask_49.txt │ ├── point_mask_5 2.txt │ ├── point_mask_5.txt │ ├── point_mask_50 2.txt │ ├── point_mask_50.txt │ ├── point_mask_51 2.txt │ ├── point_mask_51.txt │ ├── point_mask_52 2.txt │ ├── point_mask_52.txt │ ├── point_mask_53 2.txt │ ├── point_mask_53.txt │ ├── point_mask_54 2.txt │ ├── point_mask_54.txt │ ├── point_mask_55 2.txt │ ├── point_mask_55.txt │ ├── point_mask_56 2.txt │ ├── point_mask_56.txt │ ├── point_mask_57 2.txt │ ├── point_mask_57.txt │ ├── point_mask_58 2.txt │ ├── point_mask_58.txt │ ├── point_mask_59 2.txt │ ├── point_mask_59.txt │ ├── point_mask_6 2.txt │ ├── point_mask_6.txt │ ├── point_mask_60 2.txt │ ├── point_mask_60.txt │ ├── point_mask_61 2.txt │ ├── point_mask_61.txt │ ├── point_mask_62 2.txt │ ├── point_mask_62.txt │ ├── point_mask_63 2.txt │ ├── point_mask_63.txt │ ├── point_mask_64 2.txt │ ├── point_mask_64.txt │ ├── point_mask_65 2.txt │ ├── point_mask_65.txt │ ├── point_mask_66 2.txt │ ├── point_mask_66.txt │ ├── point_mask_67 2.txt │ ├── point_mask_67.txt │ ├── point_mask_68 2.txt │ ├── point_mask_68.txt │ ├── point_mask_69 2.txt │ ├── point_mask_69.txt │ ├── point_mask_7 2.txt │ ├── point_mask_7.txt │ ├── point_mask_70 2.txt │ ├── point_mask_70.txt │ ├── point_mask_71 2.txt │ ├── point_mask_71.txt │ ├── point_mask_72 2.txt │ ├── point_mask_72.txt │ ├── point_mask_73 2.txt │ ├── point_mask_73.txt │ ├── point_mask_74 2.txt │ ├── point_mask_74.txt │ ├── point_mask_75 2.txt │ ├── point_mask_75.txt │ ├── point_mask_76 2.txt │ ├── point_mask_76.txt │ ├── point_mask_77 2.txt │ ├── point_mask_77.txt │ ├── point_mask_78 2.txt │ ├── point_mask_78.txt │ ├── point_mask_79 2.txt │ ├── point_mask_79.txt │ ├── point_mask_8 2.txt │ ├── point_mask_8.txt │ ├── point_mask_80 2.txt │ ├── point_mask_80.txt │ ├── point_mask_81 2.txt │ ├── point_mask_81.txt │ ├── point_mask_82 2.txt │ ├── point_mask_82.txt │ ├── point_mask_83 2.txt │ ├── point_mask_83.txt │ ├── point_mask_84 2.txt │ ├── point_mask_84.txt │ ├── point_mask_85 2.txt │ ├── point_mask_85.txt │ ├── point_mask_86 2.txt │ ├── point_mask_86.txt │ ├── point_mask_87 2.txt │ ├── point_mask_87.txt │ ├── point_mask_88 2.txt │ ├── point_mask_88.txt │ ├── point_mask_89 2.txt │ ├── point_mask_89.txt │ ├── point_mask_9 2.txt │ ├── point_mask_9.txt │ ├── point_mask_90 2.txt │ ├── point_mask_90.txt │ ├── point_mask_91 2.txt │ └── point_mask_91.txt ├── flowcharts │ ├── .DS_Store │ ├── trimap_flowchart.png │ └── trimap_flowchart_small.png └── polygons │ ├── .DS_Store │ ├── raw_mask_0.txt │ ├── raw_mask_1.txt │ ├── raw_mask_10.txt │ ├── raw_mask_11.txt │ ├── raw_mask_12.txt │ ├── raw_mask_13.txt │ ├── raw_mask_14.txt │ ├── raw_mask_15.txt │ ├── raw_mask_16.txt │ ├── raw_mask_17.txt │ ├── raw_mask_18.txt │ ├── raw_mask_19.txt │ ├── raw_mask_2.txt │ ├── raw_mask_20.txt │ ├── raw_mask_21.txt │ ├── raw_mask_22.txt │ ├── raw_mask_23.txt │ ├── raw_mask_24.txt │ ├── raw_mask_25.txt │ ├── raw_mask_26.txt │ ├── raw_mask_27.txt │ ├── raw_mask_28.txt │ ├── raw_mask_29.txt │ ├── raw_mask_3.txt │ ├── raw_mask_30.txt │ ├── raw_mask_31.txt │ ├── raw_mask_32.txt │ ├── raw_mask_33.txt │ ├── raw_mask_34.txt │ ├── raw_mask_35.txt │ ├── raw_mask_36.txt │ ├── raw_mask_37.txt │ ├── raw_mask_38.txt │ ├── raw_mask_39.txt │ ├── raw_mask_4.txt │ ├── raw_mask_40.txt │ ├── raw_mask_41.txt │ ├── raw_mask_42.txt │ ├── raw_mask_43.txt │ ├── raw_mask_44.txt │ ├── raw_mask_45.txt │ ├── raw_mask_46.txt │ ├── raw_mask_47.txt │ ├── raw_mask_48.txt │ ├── raw_mask_49.txt │ ├── raw_mask_5.txt │ ├── raw_mask_50.txt │ ├── raw_mask_51.txt │ ├── raw_mask_52.txt │ ├── raw_mask_53.txt │ ├── raw_mask_54.txt │ ├── raw_mask_55.txt │ ├── raw_mask_56.txt │ ├── raw_mask_57.txt │ ├── raw_mask_58.txt │ ├── raw_mask_59.txt │ ├── raw_mask_6.txt │ ├── raw_mask_60.txt │ ├── raw_mask_61.txt │ ├── raw_mask_62.txt │ ├── raw_mask_63.txt │ ├── raw_mask_64.txt │ ├── raw_mask_65.txt │ ├── raw_mask_66.txt │ ├── raw_mask_67.txt │ ├── raw_mask_68.txt │ ├── raw_mask_69.txt │ ├── raw_mask_7.txt │ ├── raw_mask_70.txt │ ├── raw_mask_71.txt │ ├── raw_mask_72.txt │ ├── raw_mask_73.txt │ ├── raw_mask_74.txt │ ├── raw_mask_75.txt │ ├── raw_mask_76.txt │ ├── raw_mask_77.txt │ ├── raw_mask_78.txt │ ├── raw_mask_79.txt │ ├── raw_mask_8.txt │ ├── raw_mask_80.txt │ ├── raw_mask_81.txt │ ├── raw_mask_82.txt │ ├── raw_mask_83.txt │ ├── raw_mask_84.txt │ ├── raw_mask_85.txt │ ├── raw_mask_86.txt │ ├── raw_mask_87.txt │ ├── raw_mask_88.txt │ ├── raw_mask_89.txt │ ├── raw_mask_9.txt │ ├── raw_mask_90.txt │ ├── raw_mask_91.txt │ └── raw_mask_92.txt ├── doc ├── Doxyfile ├── doxygen_log.txt ├── html │ ├── bc_s.png │ ├── bdwn.png │ ├── closed.png │ ├── doc.png │ ├── doxygen.css │ ├── doxygen.png │ ├── dynsections.js │ ├── files.html │ ├── folderclosed.png │ ├── folderopen.png │ ├── index.html │ ├── jquery.js │ ├── menu.js │ ├── menudata.js │ ├── namespaces.html │ ├── namespacetrimap__module.html │ ├── nav_f.png │ ├── nav_g.png │ ├── nav_h.png │ ├── open.png │ ├── search │ │ ├── all_0.html │ │ ├── all_0.js │ │ ├── close.png │ │ ├── files_0.html │ │ ├── files_0.js │ │ ├── mag_sel.png │ │ ├── namespaces_0.html │ │ ├── namespaces_0.js │ │ ├── nomatches.html │ │ ├── search.css │ │ ├── search.js │ │ ├── search_l.png │ │ ├── search_m.png │ │ ├── search_r.png │ │ └── searchdata.js │ ├── splitbar.png │ ├── sync_off.png │ ├── sync_on.png │ ├── tab_a.png │ ├── tab_b.png │ ├── tab_h.png │ ├── tab_s.png │ ├── tabs.css │ ├── trimap__module_8py.html │ └── trimap__module_8py_source.html ├── py_filter.bat.txt └── trimap_module.py ├── images ├── .DS_Store ├── examples │ ├── bg_img.png │ ├── closing.png │ ├── closing_trimap.png │ ├── closing_trimap_new.png │ ├── dilation_effect.gif │ ├── eroded_image.gif │ ├── erosion_effect.gif │ ├── fg_img.png │ ├── full_img.png │ ├── opening.png │ ├── opening_trimap.png │ ├── opening_trimap_new.png │ ├── seg_img.png │ ├── trimap.png │ ├── trimap_20.png │ └── trimap_30.png ├── practices │ ├── binary_0.png │ ├── binary_1.png │ ├── binary_2.png │ └── binary_3.png ├── results │ ├── 10px_test_image_00.png │ ├── 10px_test_image_01.png │ ├── 10px_test_image_03.png │ ├── 10px_test_image_05.png │ ├── 10px_test_image_07.png │ ├── 10px_test_image_09.png │ ├── 10px_test_image_1.png │ ├── 10px_test_image_11.png │ ├── 10px_test_image_2.png │ ├── 10px_test_image_Erosion_01.png │ ├── 10px_test_image_Erosion_03.png │ ├── 10px_test_image_Erosion_05.png │ ├── 10px_test_image_Erosion_07.png │ ├── 10px_test_image_Erosion_09.png │ ├── 10px_test_image_Erosion_11.png │ └── 20px_test_image_9.png └── test_images │ ├── test_image_0.png │ ├── test_image_1.png │ ├── test_image_10.png │ ├── test_image_11.png │ ├── test_image_12.png │ ├── test_image_2.png │ ├── test_image_3.png │ ├── test_image_4.png │ ├── test_image_5.png │ ├── test_image_6.png │ ├── test_image_7.png │ ├── test_image_8.png │ └── test_image_9.png ├── requirements.txt ├── src ├── binarymask.py ├── feature_extraction.py └── foreground_scaling.py ├── test ├── README.md ├── __pycache__ │ └── trimap_module.cpython-36.pyc └── test_trimap_module.py ├── trimap_class.py ├── trimap_module.py └── trimap_tutorial.ipynb /.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/.DS_Store -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | # Byte-compiled / optimized / DLL files 2 | __pycache__/ 3 | *.py[cod] 4 | *$py.class 5 | 6 | # C extensions 7 | *.so 8 | 9 | # Distribution / packaging 10 | .Python 11 | build/ 12 | develop-eggs/ 13 | dist/ 14 | downloads/ 15 | eggs/ 16 | .eggs/ 17 | lib/ 18 | lib64/ 19 | parts/ 20 | sdist/ 21 | var/ 22 | wheels/ 23 | pip-wheel-metadata/ 24 | share/python-wheels/ 25 | *.egg-info/ 26 | .installed.cfg 27 | *.egg 28 | MANIFEST 29 | 30 | # PyInstaller 31 | # Usually these files are written by a python script from a template 32 | # before PyInstaller builds the exe, so as to inject date/other infos into it. 33 | *.manifest 34 | *.spec 35 | 36 | # Installer logs 37 | pip-log.txt 38 | pip-delete-this-directory.txt 39 | 40 | # Unit test / coverage reports 41 | htmlcov/ 42 | .tox/ 43 | .nox/ 44 | .coverage 45 | .coverage.* 46 | .cache 47 | nosetests.xml 48 | coverage.xml 49 | *.cover 50 | .hypothesis/ 51 | .pytest_cache/ 52 | 53 | # Translations 54 | *.mo 55 | *.pot 56 | 57 | # Django stuff: 58 | *.log 59 | local_settings.py 60 | db.sqlite3 61 | db.sqlite3-journal 62 | 63 | # Flask stuff: 64 | instance/ 65 | .webassets-cache 66 | 67 | # Scrapy stuff: 68 | .scrapy 69 | 70 | # Sphinx documentation 71 | docs/_build/ 72 | 73 | # PyBuilder 74 | target/ 75 | 76 | # Jupyter Notebook 77 | .ipynb_checkpoints 78 | 79 | # IPython 80 | profile_default/ 81 | ipython_config.py 82 | 83 | # pyenv 84 | .python-version 85 | 86 | # pipenv 87 | # According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control. 88 | # However, in case of collaboration, if having platform-specific dependencies or dependencies 89 | # having no cross-platform support, pipenv may install dependencies that don't work, or not 90 | # install all needed dependencies. 91 | #Pipfile.lock 92 | 93 | # celery beat schedule file 94 | celerybeat-schedule 95 | 96 | # SageMath parsed files 97 | *.sage.py 98 | 99 | # Environments 100 | .env 101 | .venv 102 | env/ 103 | venv/ 104 | ENV/ 105 | env.bak/ 106 | venv.bak/ 107 | 108 | # Spyder project settings 109 | .spyderproject 110 | .spyproject 111 | 112 | # Rope project settings 113 | .ropeproject 114 | 115 | # mkdocs documentation 116 | /site 117 | 118 | # mypy 119 | .mypy_cache/ 120 | .dmypy.json 121 | dmypy.json 122 | 123 | # Pyre type checker 124 | .pyre/ 125 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | MIT License 2 | 3 | Copyright (c) 2019 Leo Nugraha 4 | 5 | Permission is hereby granted, free of charge, to any person obtaining a copy 6 | of this software and associated documentation files (the "Software"), to deal 7 | in the Software without restriction, including without limitation the rights 8 | to use, copy, modify, merge, publish, distribute, sublicense, and/or sell 9 | copies of the Software, and to permit persons to whom the Software is 10 | furnished to do so, subject to the following conditions: 11 | 12 | The above copyright notice and this permission notice shall be included in all 13 | copies or substantial portions of the Software. 14 | 15 | THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR 16 | IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, 17 | FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE 18 | AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER 19 | LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, 20 | OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE 21 | SOFTWARE. 22 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | ## Automatic Trimap Generator ## 2 | 3 | ##### Keywords: Alpha Compositioning,Trimap ##### 4 | ##### 關鍵: Alpha合成、三分圖 ##### 5 | ##### キーワード:アルファチャンネル、マスク画像 ##### 6 | 7 | ## Introduction ## 8 | 12 |

13 | 14 |

15 | In this equation, Ip denotes the entire image, Fp denotes a definite foreground, and Bp denotes a definite background.
16 | On the other hand, is an alpha matte constant with a value ranging between 0 and 1. An value of 0 indicates that the pixel belongs to a background; whereas an value of 1 indicates otherwise. Any value in between means a mixed pixel that has to be determined.

17 | 18 | ## Descriptions ## 19 | 28 |
Input: a binary image (from a segmented lesion) 29 |
Output: a trimap with unknown region (gray) from tumor dilation
30 | 31 | ## Flow Chart ## 32 |

33 | 34 | --- 35 | **TO DO:** 36 | - [ ] **Finding The Most Dominant Foreground** -- automatic kernel design (generate an odd-sized matrix from an integer) 37 | - [ ] **Contour Detection Module** -- an alternative method to circumscribe foreground without U-Net segmentation 38 | - [ ] **Mask Contour Module** -- create a binary mask from contour point polygon 39 | 40 | ## Examples ## 41 | **1 Dilating the binary image (trimap_module.py)**
42 | ```python 43 | import cv2, os, sys 44 | from trimap_module import trimap 45 | 46 | path = "./image/samples/seg_image.png"; 47 | image = extractImage(path); 48 | name = "testImage"; 49 | size = 10; # how many pixel extension do you want to dilate 50 | number = 1; # numbering purpose 51 | trimap(image, name, size, number, erosion=False) 52 | ``` 53 | |**FULL IMAGE**| **MASK IMAGE**|**FOREGROUND**| **BACKGROUND**| 54 | |:----------:|:----------:|:----------:|:----------:| 55 | |![alt text](./images/examples/full_img.png)| ![alt text](./images/examples/seg_img.png) | ![alt text](./images/examples/fg_img.png) | ![alt text](./images/examples/bg_img.png) 56 | 57 | 58 | |**BINARY IMAGE**|**TRIMAP (10 PX)**|**TRIMAP (20 PX)**|**TRIMAP (30 PX)**| 59 | |:----------:|:----------:|:----------:|:----------:| 60 | |![alt text](./images/examples/seg_img.png)|![alt text](./images/examples/trimap.png)|![alt text](./images/examples/trimap_20.png)|![alt text](./images/examples/trimap_30.png)| 61 | 62 | **2 Handling Non-Dominant Foreground (trimap_module.py)** 63 | ```python 64 | import cv2, os, sys 65 | from trimap_module import trimap 66 | path = "./image/test_images/test_image_10.png"; 67 | image = extractImage(path); 68 | 69 | kernel = np.ones( (9,9), np.uint8 ); 70 | opening = unit01.morph_close(image,kernel); 71 | trimap(opening, "trimap_result", 10, 1, erosion=False) 72 | ``` 73 | |**NOISES**|**ORIGINAL IMAGES**|**TRIMAPS PREVIOUS**|**TRIMAPS NEW**| 74 | |:----------|:----------:|:----------:|:----------:| 75 | |**Outside FG**|![alt text](./images/examples/opening.png)|![alt text](./images/examples/opening_trimap.png)|![alt text](./images/examples/opening_trimap_new.png)| 76 | |**Inside FG**|![alt text](./images/examples/closing.png)|![alt text](./images/examples/closing_trimap.png)|![alt text](./images/examples/closing_trimap_new.png)| 77 | 78 | **3 Impact of Eroding or Expanding Foreground (trimap_class.py)**
79 | ```python 80 | import cv2, os, sys 81 | from trimap_class import trimap 82 | path = "./image/test_images/test_image_12.png"; 83 | image = extractImage(path); 84 | 85 | trimap(image, ""trimap_result, 10, 1, DEFG=Erosion, num_iter=3); 86 | ``` 87 | The illustration starts with zero erosion/dilation; followed with one, three, five, until eleven iterations (an increment of two).
88 | 89 |

90 | 91 | 92 | 93 | 94 | 95 | 96 | 97 | 98 |
Erosion Expansion
99 |


100 | 101 | 102 | **4 Image Processing using Feature Extraction Module (feature_extraction.py)**
103 | **Coming Soon** 104 | 105 | ## References ## 106 | 1. Vikas Gupta and Shanmuganathan Raman. (2017). "Automatic Trimap Generation for Image Matting". Indian Institute of Technology, Gandhinagar, IND [download](https://arxiv.org/pdf/1707.00333.pdf) 107 | 2. Olivier Juan and Reanud Keriven. (2005). "Trimap Segmentation for Fast and User-Friendly Alpha Matting". FRA [download](http://imagine.enpc.fr/publications/papers/05vlsm_c.pdf) 108 | 3. Jimei Yang, Brian Price, Scott Cohen, Honglak Lee, and Ming-Hsuan Yang. (2016). "Object Contour Detection with a Fully Convolutional Encoder-Decoder Network". Adobe Research, USA [download](https://arxiv.org/pdf/1603.04530.pdf) 109 | -------------------------------------------------------------------------------- /__pycache__/trimap_generate.cpython-36.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/__pycache__/trimap_generate.cpython-36.pyc -------------------------------------------------------------------------------- /__pycache__/trimap_module.cpython-36.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/__pycache__/trimap_module.cpython-36.pyc -------------------------------------------------------------------------------- /archive/trimap_module_20190519.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | import cv2, os, sys 3 | import numpy as np 4 | 5 | def extractImage(path): 6 | # error handller if the intended path is not found 7 | image = cv2.imread(path, cv2.IMREAD_GRAYSCALE); 8 | return image 9 | 10 | def checkImage(image): 11 | """ 12 | Args: 13 | image: input image to be checked 14 | 15 | Returns: 16 | binary image 17 | 18 | Raises: 19 | RGB image, grayscale image, all-black, and all-white image 20 | 21 | """ 22 | if len(image.shape) > 2: 23 | print("ERROR: non-binary image (RGB)"); 24 | sys.exit(); 25 | 26 | smallest = image.min(axis=0).min(axis=0); # lowest pixel value; should be 0 (black) 27 | largest = image.max(axis=0).max(axis=0); # highest pixel value; should be 1 (white) 28 | 29 | if (smallest == 0 and largest == 0): 30 | print("ERROR: non-binary image (all black)"); 31 | sys.exit(); 32 | elif (smallest == 255 and largest == 255): 33 | print("ERROR: non-binary image (all white)"); 34 | sys.exit(); 35 | elif (smallest > 0 or largest < 255 ): 36 | print("ERROR: non-binary image (grayscale)"); 37 | sys.exit(); 38 | else: 39 | return True 40 | 41 | class Toolbox: 42 | def __init__(self, image): 43 | self.image = image; 44 | 45 | def printImage(self): 46 | """ 47 | Print image into a file for checking purpose 48 | unitTest = Toolbox(image); 49 | unitTest.printImage(image); 50 | """ 51 | 52 | f = open("image_results.dat", "w+") 53 | for i in range(0, self.image.shape[0]): 54 | for j in range(0, self.image.shape[1]): 55 | f.write("%d " %self.image[i,j]) 56 | f.write("\n") 57 | f.close() 58 | 59 | def saveImage(self): 60 | """ 61 | Save the image as a bmp file 62 | """ 63 | 64 | 65 | def displayImage(self): 66 | cv2.imshow('Displayed Image', self.image); 67 | cv2.waitKey(0); 68 | cv2.destroyAllWindows(); 69 | 70 | def opening(self, image): 71 | # FIXME: to be completed 72 | # Effective when dealing with salt pepper noise 73 | kernel = np.ones( (5,5), np.uint8 ) 74 | cv2.morphologyEx(self.image, cv2.MORPH_OPEN, kernel) 75 | return image 76 | 77 | def closing(self, image): 78 | # FIXME: to be completed 79 | # Effective when dealing with noises inside foreground 80 | kernel = np.ones( (5,5), np.uint8 ) 81 | cv2.morphologyEx(self.image, cv2.MORPH_CLOSE, kernel) 82 | return image 83 | 84 | 85 | def trimap(image, name, size, number, erosion=False): 86 | """ 87 | This function creates a trimap based on simple dilation algorithm 88 | Inputs [4]: a binary image (black & white only), name of the image, dilation pixels 89 | the last argument is optional; i.e., how many iterations will the image get eroded 90 | Output : a trimap 91 | """ 92 | checkImage(image); 93 | 94 | row = image.shape[0]; 95 | col = image.shape[1]; 96 | 97 | pixels = 2*size + 1; ## Double and plus 1 to have an odd-sized kernel 98 | kernel = np.ones((pixels,pixels),np.uint8) ## How many pixel of extension do I get 99 | 100 | if erosion is not False: 101 | erosion = int(erosion) 102 | erosion_kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 103 | image = cv2.erode(image, erosion_kernel, iterations=erosion) ## How many erosion do you expect 104 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 105 | # Error-handler to prevent entire foreground annihilation 106 | if cv2.countNonZero(image) == 0: 107 | print("ERROR: foreground has been entirely eroded"); 108 | sys.exit(); 109 | 110 | dilation = cv2.dilate(image, kernel, iterations = 1) 111 | 112 | dilation = np.where(dilation == 255, 127, dilation) ## WHITE to GRAY 113 | remake = np.where(dilation != 127, 0, dilation) ## Smoothing 114 | remake = np.where(image > 127, 200, dilation) ## mark the tumor inside GRAY 115 | 116 | remake = np.where(remake < 127, 0, remake) ## Embelishment 117 | remake = np.where(remake > 200, 0, remake) ## Embelishment 118 | remake = np.where(remake == 200, 255, remake) ## GRAY to WHITE 119 | 120 | ############################################# 121 | # Ensures only three pixel values available # 122 | # TODO: Optimization with Cython # 123 | ############################################# 124 | for i in range(0,row): 125 | for j in range (0,col): 126 | if (remake[i,j] != 0 and remake[i,j] != 255): 127 | remake[i,j] = 127; 128 | 129 | path = "./images/results/" ## Change the directory 130 | new_name = '{}px_'.format(size) + name + '_{}.png'.format(number); 131 | cv2.imwrite(os.path.join(path , new_name) , remake) 132 | 133 | 134 | ############################################# 135 | ### TESTING SECTION ### 136 | ############################################# 137 | if __name__ == '__main__': 138 | 139 | path = "./images/test_images/test_image_12.png"; 140 | image = extractImage(path) 141 | 142 | size = 10; 143 | number = path[-5]; 144 | title = "test_image" 145 | 146 | trimap(image, title, size, number, erosion=False); 147 | 148 | ### Testing Methods from the Toolbox Class 149 | ### unit01 = Toolbox(image); 150 | ### unit01.displayImage(); 151 | -------------------------------------------------------------------------------- /archive/trimap_module_20190811.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | import cv2, os, sys 3 | import numpy as np 4 | 5 | def extractImage(path): 6 | # error handller if the intended path is not found 7 | image = cv2.imread(path, cv2.IMREAD_GRAYSCALE); 8 | return image 9 | 10 | def checkImage(image): 11 | """ 12 | Args: 13 | image: input image to be checked 14 | Returns: 15 | binary image 16 | Raises: 17 | RGB image, grayscale image, all-black, and all-white image 18 | 19 | """ 20 | if len(image.shape) > 2: 21 | print("ERROR: non-binary image (RGB)"); 22 | sys.exit(); 23 | 24 | smallest = image.min(axis=0).min(axis=0); # lowest pixel value; should be 0 (black) 25 | largest = image.max(axis=0).max(axis=0); # highest pixel value; should be 1 (white) 26 | 27 | if (smallest == 0 and largest == 0): 28 | print("ERROR: non-binary image (all black)"); 29 | sys.exit(); 30 | elif (smallest == 255 and largest == 255): 31 | print("ERROR: non-binary image (all white)"); 32 | sys.exit(); 33 | elif (smallest > 0 or largest < 255 ): 34 | print("ERROR: non-binary image (grayscale)"); 35 | sys.exit(); 36 | else: 37 | return True 38 | 39 | class Toolbox: 40 | def __init__(self, image): 41 | self.image = image; 42 | 43 | @property 44 | def printImage(self): 45 | """ 46 | Print image into a file for checking purpose 47 | unitTest = Toolbox(image); 48 | unitTest.printImage(image); 49 | """ 50 | f = open("image_results.dat", "w+") 51 | for i in range(0, self.image.shape[0]): 52 | for j in range(0, self.image.shape[1]): 53 | f.write("%d " %self.image[i,j]) 54 | f.write("\n") 55 | f.close() 56 | 57 | @property 58 | def displayImage(self): 59 | """ 60 | Display the image on a window 61 | Press any key to exit 62 | """ 63 | cv2.imshow('Displayed Image', self.image); 64 | cv2.waitKey(0); 65 | cv2.destroyAllWindows(); 66 | 67 | def saveImage(self, title, extension): 68 | """ 69 | Save as a specific image format (bmp, png, or jpeg) 70 | """ 71 | cv2.imwrite("{}.{}".format(title,extension), self.image); 72 | 73 | def morph_open(self, image, kernel): 74 | """ 75 | Remove all white noises or speckles outside images 76 | Need to tune the kernel size 77 | Instruction: 78 | unit01 = Toolbox(image); 79 | kernel = np.ones( (9,9), np.uint8 ); 80 | morph = unit01.morph_open(input_image, kernel); 81 | """ 82 | bin_open = cv2.morphologyEx(self.image, cv2.MORPH_OPEN, kernel) 83 | return bin_open 84 | 85 | def morph_close(self, image, kernel): 86 | """ 87 | Remove all black noises or speckles inside images 88 | Need to tune the kernel size 89 | Instruction: 90 | unit01 = Toolbox(image); 91 | kernel = np.ones( (11,11)_, np.uint8 ); 92 | morph = unit01.morph_close(input_image, kernel); 93 | """ 94 | bin_close = cv2.morphologyEx(self.image, cv2.MORPH_CLOSE, kernel) 95 | return bin_close 96 | 97 | 98 | def trimap(image, name, size, number, erosion=False): 99 | """ 100 | This function creates a trimap based on simple dilation algorithm 101 | Inputs [4]: a binary image (black & white only), name of the image, dilation pixels 102 | the last argument is optional; i.e., how many iterations will the image get eroded 103 | Output : a trimap 104 | """ 105 | checkImage(image); 106 | 107 | row = image.shape[0]; 108 | col = image.shape[1]; 109 | 110 | pixels = 2*size + 1; ## Double and plus 1 to have an odd-sized kernel 111 | kernel = np.ones((pixels,pixels),np.uint8) ## How many pixel of extension do I get 112 | 113 | if erosion is not False: 114 | erosion = int(erosion) 115 | erosion_kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 116 | image = cv2.erode(image, erosion_kernel, iterations=erosion) ## How many erosion do you expect 117 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 118 | # Error-handler to prevent entire foreground annihilation 119 | if cv2.countNonZero(image) == 0: 120 | print("ERROR: foreground has been entirely eroded"); 121 | sys.exit(); 122 | 123 | dilation = cv2.dilate(image, kernel, iterations = 1) 124 | 125 | dilation = np.where(dilation == 255, 127, dilation) ## WHITE to GRAY 126 | remake = np.where(dilation != 127, 0, dilation) ## Smoothing 127 | remake = np.where(image > 127, 200, dilation) ## mark the tumor inside GRAY 128 | 129 | remake = np.where(remake < 127, 0, remake) ## Embelishment 130 | remake = np.where(remake > 200, 0, remake) ## Embelishment 131 | remake = np.where(remake == 200, 255, remake) ## GRAY to WHITE 132 | 133 | ############################################# 134 | # Ensures only three pixel values available # 135 | # TODO: Optimization with Cython # 136 | ############################################# 137 | for i in range(0,row): 138 | for j in range (0,col): 139 | if (remake[i,j] != 0 and remake[i,j] != 255): 140 | remake[i,j] = 127; 141 | 142 | path = "./images/results/" ## Change the directory 143 | new_name = '{}px_'.format(size) + name + '_{}.png'.format(number); 144 | cv2.imwrite(os.path.join(path , new_name) , remake) 145 | 146 | 147 | ############################################# 148 | ### TESTING SECTION ### 149 | ############################################# 150 | if __name__ == '__main__': 151 | 152 | path = "./images/test_images/test_image_11.png"; 153 | image = extractImage(path) 154 | 155 | size = 10; 156 | number = path[-5]; 157 | title = "test_image" 158 | 159 | unit01 = Toolbox(image); 160 | kernel1 = np.ones( (11,11), np.uint8 ); 161 | unit01.displayImage; 162 | 163 | opening = unit01.morph_close(image,kernel1); 164 | trimap(opening, title, size, number, erosion=False); 165 | unit02 = Toolbox(opening); 166 | unit02.displayImage; 167 | 168 | ######################################################## 169 | ## Default instruction (no binary opening or closing ## 170 | ## trimap(image, title, size, number, erosion=False); ## 171 | 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C:/Users/dl.chen/Documents/Python_Practices/doc 10 | Reading and parsing tag files 11 | Parsing files 12 | Reading C:/Users/dl.chen/Documents/Python_Practices/doc/trimap_module.py... 13 | Parsing file C:/Users/dl.chen/Documents/Python_Practices/doc/trimap_module.py... 14 | Building group list... 15 | Building directory list... 16 | Building namespace list... 17 | Building file list... 18 | Building class list... 19 | Associating documentation with classes... 20 | Computing nesting relations for classes... 21 | Building example list... 22 | Searching for enumerations... 23 | Searching for documented typedefs... 24 | Searching for members imported via using declarations... 25 | Searching for included using directives... 26 | Searching for documented variables... 27 | Building interface member list... 28 | Building member list... 29 | Searching for friends... 30 | Searching for documented defines... 31 | Computing class inheritance relations... 32 | Computing class usage relations... 33 | Flushing cached template relations that have become invalid... 34 | Computing class relations... 35 | Add enum values to enums... 36 | Searching for member function documentation... 37 | Creating members for template instances... 38 | Building page list... 39 | Search for main page... 40 | Computing page relations... 41 | Determining the scope of groups... 42 | Sorting lists... 43 | Freeing entry tree 44 | Determining which enums are documented 45 | Computing member relations... 46 | Building full member lists recursively... 47 | Adding members to member groups. 48 | Computing member references... 49 | Inheriting documentation... 50 | Generating disk names... 51 | Adding source references... 52 | Adding xrefitems... 53 | Sorting member lists... 54 | Computing dependencies between directories... 55 | Generating citations page... 56 | Counting data structures... 57 | Resolving user defined references... 58 | Finding anchors and sections in the documentation... 59 | Transferring function references... 60 | Combining using relations... 61 | Adding members to index pages... 62 | Generating style sheet... 63 | Generating search indices... 64 | Generating example documentation... 65 | Generating file sources... 66 | Generating code for file trimap_module.py... 67 | Generating file documentation... 68 | Generating docs for file trimap_module.py... 69 | Generating page documentation... 70 | Generating group documentation... 71 | Generating class documentation... 72 | Generating namespace index... 73 | Generating docs for namespace trimap_module 74 | Generating graph info page... 75 | Generating directory documentation... 76 | Generating index page... 77 | Generating page index... 78 | Generating module index... 79 | Generating namespace index... 80 | Generating namespace member index... 81 | Generating annotated compound index... 82 | Generating alphabetical compound index... 83 | Generating hierarchical class index... 84 | Generating member index... 85 | Generating file index... 86 | Generating file member index... 87 | Generating example index... 88 | finalizing index lists... 89 | writing tag file... 90 | lookup cache used 0/65536 hits=0 misses=0 91 | finished... 92 | *** Doxygen has finished -------------------------------------------------------------------------------- /doc/html/bc_s.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/bc_s.png -------------------------------------------------------------------------------- /doc/html/bdwn.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/bdwn.png -------------------------------------------------------------------------------- /doc/html/closed.png: 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/* 2 | @licstart The following is the entire license notice for the 3 | JavaScript code in this file. 4 | 5 | Copyright (C) 1997-2017 by Dimitri van Heesch 6 | 7 | This program is free software; you can redistribute it and/or modify 8 | it under the terms of the GNU General Public License as published by 9 | the Free Software Foundation; either version 2 of the License, or 10 | (at your option) any later version. 11 | 12 | This program is distributed in the hope that it will be useful, 13 | but WITHOUT ANY WARRANTY; without even the implied warranty of 14 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 15 | GNU General Public License for more details. 16 | 17 | You should have received a copy of the GNU General Public License along 18 | with this program; if not, write to the Free Software Foundation, Inc., 19 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 20 | 21 | @licend The above is the entire license notice 22 | for the JavaScript code in this file 23 | */ 24 | function toggleVisibility(linkObj) 25 | { 26 | var base = $(linkObj).attr('id'); 27 | var summary = $('#'+base+'-summary'); 28 | var content = $('#'+base+'-content'); 29 | var trigger = $('#'+base+'-trigger'); 30 | var src=$(trigger).attr('src'); 31 | if (content.is(':visible')===true) { 32 | content.hide(); 33 | summary.show(); 34 | $(linkObj).addClass('closed').removeClass('opened'); 35 | $(trigger).attr('src',src.substring(0,src.length-8)+'closed.png'); 36 | } else { 37 | content.show(); 38 | summary.hide(); 39 | $(linkObj).removeClass('closed').addClass('opened'); 40 | $(trigger).attr('src',src.substring(0,src.length-10)+'open.png'); 41 | } 42 | return false; 43 | } 44 | 45 | function updateStripes() 46 | { 47 | $('table.directory tr'). 48 | removeClass('even').filter(':visible:even').addClass('even'); 49 | } 50 | 51 | function toggleLevel(level) 52 | { 53 | $('table.directory tr').each(function() { 54 | var l = this.id.split('_').length-1; 55 | var i = $('#img'+this.id.substring(3)); 56 | var a = $('#arr'+this.id.substring(3)); 57 | if (l 2 | 3 | 4 | 5 | 6 | 7 | 8 | Automatic Trimap Generator: File List 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
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File List
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69 | 70 | 71 |
 trimap_module.py
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76 | Generated by   77 | doxygen 78 | 1.8.15 79 |
80 | 81 | 82 | -------------------------------------------------------------------------------- /doc/html/folderclosed.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/folderclosed.png -------------------------------------------------------------------------------- /doc/html/folderopen.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/folderopen.png -------------------------------------------------------------------------------- /doc/html/index.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Automatic Trimap Generator: Main Page 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
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75 | 76 | 77 | -------------------------------------------------------------------------------- /doc/html/menu.js: -------------------------------------------------------------------------------- 1 | /* 2 | @licstart The following is the entire license notice for the 3 | JavaScript code in this file. 4 | 5 | Copyright (C) 1997-2017 by Dimitri van Heesch 6 | 7 | This program is free software; you can redistribute it and/or modify 8 | it under the terms of the GNU General Public License as published by 9 | the Free Software Foundation; either version 2 of the License, or 10 | (at your option) any later version. 11 | 12 | This program is distributed in the hope that it will be useful, 13 | but WITHOUT ANY WARRANTY; without even the implied warranty of 14 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 15 | GNU General Public License for more details. 16 | 17 | You should have received a copy of the GNU General Public License along 18 | with this program; if not, write to the Free Software Foundation, Inc., 19 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 20 | 21 | @licend The above is the entire license notice 22 | for the JavaScript code in this file 23 | */ 24 | function initMenu(relPath,searchEnabled,serverSide,searchPage,search) { 25 | function makeTree(data,relPath) { 26 | var result=''; 27 | if ('children' in data) { 28 | result+=''; 35 | } 36 | return result; 37 | } 38 | 39 | $('#main-nav').append(makeTree(menudata,relPath)); 40 | $('#main-nav').children(':first').addClass('sm sm-dox').attr('id','main-menu'); 41 | if (searchEnabled) { 42 | if (serverSide) { 43 | $('#main-menu').append('
    • '); 44 | } else { 45 | $('#main-menu').append('
    • '); 46 | } 47 | } 48 | $('#main-menu').smartmenus(); 49 | } 50 | /* @license-end */ 51 | -------------------------------------------------------------------------------- /doc/html/menudata.js: -------------------------------------------------------------------------------- 1 | /* 2 | @ @licstart The following is the entire license notice for the 3 | JavaScript code in this file. 4 | 5 | Copyright (C) 1997-2017 by Dimitri van Heesch 6 | 7 | This program is free software; you can redistribute it and/or modify 8 | it under the terms of the GNU General Public License as published by 9 | the Free Software Foundation; either version 2 of the License, or 10 | (at your option) any later version. 11 | 12 | This program is distributed in the hope that it will be useful, 13 | but WITHOUT ANY WARRANTY; without even the implied warranty of 14 | MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 15 | GNU General Public License for more details. 16 | 17 | You should have received a copy of the GNU General Public License along 18 | with this program; if not, write to the Free Software Foundation, Inc., 19 | 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. 20 | 21 | @licend The above is the entire license notice 22 | for the JavaScript code in this file 23 | */ 24 | var menudata={children:[ 25 | {text:"Main Page",url:"index.html"}, 26 | {text:"Namespaces",url:"namespaces.html",children:[ 27 | {text:"Namespace List",url:"namespaces.html"}]}, 28 | {text:"Files",url:"files.html",children:[ 29 | {text:"File List",url:"files.html"}]}]} 30 | -------------------------------------------------------------------------------- /doc/html/namespaces.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Automatic Trimap Generator: Namespace List 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
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    69 | 70 | 71 |
     Ntrimap_module
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    76 | Generated by   77 | doxygen 78 | 1.8.15 79 |
    80 | 81 | 82 | -------------------------------------------------------------------------------- /doc/html/namespacetrimap__module.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | Automatic Trimap Generator: trimap_module Namespace Reference 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 |
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    71 | Generated by   72 | doxygen 73 | 1.8.15 74 |
    75 | 76 | 77 | -------------------------------------------------------------------------------- /doc/html/nav_f.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/nav_f.png -------------------------------------------------------------------------------- /doc/html/nav_g.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/nav_g.png -------------------------------------------------------------------------------- /doc/html/nav_h.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/nav_h.png -------------------------------------------------------------------------------- /doc/html/open.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/open.png -------------------------------------------------------------------------------- /doc/html/search/all_0.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
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    29 | 30 | 31 | -------------------------------------------------------------------------------- /doc/html/search/all_0.js: -------------------------------------------------------------------------------- 1 | var searchData= 2 | [ 3 | ['trimap_5fmodule',['trimap_module',['../namespacetrimap__module.html',1,'']]], 4 | ['trimap_5fmodule_2epy',['trimap_module.py',['../trimap__module_8py.html',1,'']]] 5 | ]; 6 | -------------------------------------------------------------------------------- /doc/html/search/close.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/search/close.png -------------------------------------------------------------------------------- /doc/html/search/files_0.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
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    29 | 30 | 31 | -------------------------------------------------------------------------------- /doc/html/search/files_0.js: -------------------------------------------------------------------------------- 1 | var searchData= 2 | [ 3 | ['trimap_5fmodule_2epy',['trimap_module.py',['../trimap__module_8py.html',1,'']]] 4 | ]; 5 | -------------------------------------------------------------------------------- /doc/html/search/mag_sel.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/doc/html/search/mag_sel.png -------------------------------------------------------------------------------- /doc/html/search/namespaces_0.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 |
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    29 | 30 | 31 | -------------------------------------------------------------------------------- /doc/html/search/namespaces_0.js: -------------------------------------------------------------------------------- 1 | var searchData= 2 | [ 3 | ['trimap_5fmodule',['trimap_module',['../namespacetrimap__module.html',1,'']]] 4 | ]; 5 | -------------------------------------------------------------------------------- /doc/html/search/nomatches.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |
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    11 | 12 | 13 | -------------------------------------------------------------------------------- /doc/html/search/search.css: -------------------------------------------------------------------------------- 1 | /*---------------- Search Box */ 2 | 3 | #FSearchBox { 4 | float: left; 5 | } 6 | 7 | #MSearchBox { 8 | white-space : nowrap; 9 | float: none; 10 | margin-top: 8px; 11 | right: 0px; 12 | width: 170px; 13 | height: 24px; 14 | z-index: 102; 15 | } 16 | 17 | #MSearchBox .left 18 | { 19 | display:block; 20 | position:absolute; 21 | left:10px; 22 | width:20px; 23 | height:19px; 24 | background:url('search_l.png') no-repeat; 25 | background-position:right; 26 | } 27 | 28 | #MSearchSelect { 29 | display:block; 30 | position:absolute; 31 | width:20px; 32 | height:19px; 33 | } 34 | 35 | .left #MSearchSelect { 36 | left:4px; 37 | } 38 | 39 | .right #MSearchSelect { 40 | right:5px; 41 | } 42 | 43 | #MSearchField { 44 | display:block; 45 | position:absolute; 46 | height:19px; 47 | background:url('search_m.png') repeat-x; 48 | border:none; 49 | width:115px; 50 | margin-left:20px; 51 | padding-left:4px; 52 | color: #909090; 53 | outline: none; 54 | font: 9pt Arial, Verdana, sans-serif; 55 | -webkit-border-radius: 0px; 56 | } 57 | 58 | #FSearchBox #MSearchField { 59 | margin-left:15px; 60 | } 61 | 62 | #MSearchBox .right { 63 | display:block; 64 | position:absolute; 65 | right:10px; 66 | top:8px; 67 | width:20px; 68 | height:19px; 69 | background:url('search_r.png') no-repeat; 70 | background-position:left; 71 | } 72 | 73 | #MSearchClose { 74 | display: none; 75 | position: absolute; 76 | top: 4px; 77 | background : none; 78 | border: none; 79 | margin: 0px 4px 0px 0px; 80 | padding: 0px 0px; 81 | outline: none; 82 | } 83 | 84 | .left #MSearchClose { 85 | left: 6px; 86 | } 87 | 88 | .right #MSearchClose { 89 | right: 2px; 90 | } 91 | 92 | .MSearchBoxActive #MSearchField { 93 | color: #000000; 94 | } 95 | 96 | /*---------------- Search filter selection */ 97 | 98 | #MSearchSelectWindow { 99 | display: none; 100 | position: absolute; 101 | left: 0; top: 0; 102 | border: 1px solid #90A5CE; 103 | background-color: #F9FAFC; 104 | z-index: 10001; 105 | padding-top: 4px; 106 | padding-bottom: 4px; 107 | -moz-border-radius: 4px; 108 | -webkit-border-top-left-radius: 4px; 109 | -webkit-border-top-right-radius: 4px; 110 | -webkit-border-bottom-left-radius: 4px; 111 | -webkit-border-bottom-right-radius: 4px; 112 | -webkit-box-shadow: 5px 5px 5px rgba(0, 0, 0, 0.15); 113 | } 114 | 115 | .SelectItem { 116 | font: 8pt Arial, Verdana, sans-serif; 117 | padding-left: 2px; 118 | padding-right: 12px; 119 | border: 0px; 120 | } 121 | 122 | span.SelectionMark { 123 | margin-right: 4px; 124 | font-family: monospace; 125 | outline-style: none; 126 | text-decoration: none; 127 | } 128 | 129 | a.SelectItem { 130 | display: block; 131 | outline-style: none; 132 | color: #000000; 133 | text-decoration: none; 134 | padding-left: 6px; 135 | padding-right: 12px; 136 | } 137 | 138 | a.SelectItem:focus, 139 | a.SelectItem:active { 140 | color: #000000; 141 | outline-style: none; 142 | text-decoration: none; 143 | } 144 | 145 | a.SelectItem:hover { 146 | color: #FFFFFF; 147 | background-color: #3D578C; 148 | outline-style: none; 149 | text-decoration: none; 150 | cursor: pointer; 151 | display: block; 152 | } 153 | 154 | /*---------------- Search results window */ 155 | 156 | iframe#MSearchResults { 157 | width: 60ex; 158 | height: 15em; 159 | } 160 | 161 | #MSearchResultsWindow { 162 | display: none; 163 | position: absolute; 164 | left: 0; top: 0; 165 | border: 1px solid #000; 166 | background-color: #EEF1F7; 167 | z-index:10000; 168 | } 169 | 170 | /* ----------------------------------- */ 171 | 172 | 173 | #SRIndex { 174 | clear:both; 175 | padding-bottom: 15px; 176 | } 177 | 178 | .SREntry { 179 | font-size: 10pt; 180 | padding-left: 1ex; 181 | } 182 | 183 | .SRPage .SREntry { 184 | font-size: 8pt; 185 | padding: 1px 5px; 186 | } 187 | 188 | body.SRPage { 189 | margin: 5px 2px; 190 | } 191 | 192 | .SRChildren { 193 | padding-left: 3ex; padding-bottom: .5em 194 | } 195 | 196 | .SRPage .SRChildren { 197 | display: none; 198 | } 199 | 200 | .SRSymbol { 201 | font-weight: bold; 202 | color: #425E97; 203 | font-family: Arial, Verdana, sans-serif; 204 | text-decoration: none; 205 | outline: none; 206 | } 207 | 208 | a.SRScope { 209 | display: block; 210 | color: #425E97; 211 | font-family: Arial, Verdana, sans-serif; 212 | text-decoration: none; 213 | outline: none; 214 | } 215 | 216 | a.SRSymbol:focus, a.SRSymbol:active, 217 | a.SRScope:focus, a.SRScope:active { 218 | text-decoration: underline; 219 | } 220 | 221 | span.SRScope { 222 | padding-left: 4px; 223 | } 224 | 225 | .SRPage .SRStatus { 226 | padding: 2px 5px; 227 | font-size: 8pt; 228 | font-style: italic; 229 | } 230 | 231 | .SRResult { 232 | display: none; 233 | } 234 | 235 | DIV.searchresults { 236 | margin-left: 10px; 237 | margin-right: 10px; 238 | } 239 | 240 | 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    75 | 76 | 77 | -------------------------------------------------------------------------------- /doc/py_filter.bat.txt: -------------------------------------------------------------------------------- 1 | doxypypy -a -c %1 -------------------------------------------------------------------------------- /doc/trimap_module.py: -------------------------------------------------------------------------------- 1 | import cv2, os, sys 2 | import numpy as np 3 | 4 | def check_image(image): 5 | """ 6 | Checks whether the input image is binary. 7 | To be completed: optimization in nested for-loop using Cython 8 | 9 | Args: 10 | arg1: image 11 | 12 | Returns: 13 | binary image 14 | 15 | Raises: 16 | RGB image, grayscale image, all-black, and all-white image 17 | 18 | """ 19 | width = image.shape[0]; height = image.shape[1]; 20 | 21 | # So far, input image is converted to grayscale; 22 | # thus this is not an issue at the moment 23 | if len(image.shape) > 2: 24 | print("ERROR: non-binary image (RGB)"); 25 | sys.exit(); 26 | 27 | if cv2.countNonZero(image) == 0: 28 | print("ERROR: non-binary image (all black)"); 29 | sys.exit(); 30 | else: 31 | for i in range(0,width): 32 | for j in range (0,height): 33 | if (image[i,j] == 255 ): 34 | print("ERROR: non-binary (all white)"); 35 | sys.exit(); 36 | elif (image[i,j] != 0 and image[i,j] != 255 ): 37 | print("ERROR: non-binary (grayscale)") 38 | sys.exit(); 39 | else: 40 | return True 41 | 42 | def trimap(image, name, size, number, erosion=False): 43 | """ 44 | This function creates a trimap based on simple dilation algorithm 45 | 46 | Args: 47 | arg1: binary image 48 | arg2: name in string 49 | arg3: unknown region pixel 50 | arg4: number in string (for naming purpose) 51 | arg5: erosion value in pixel (default is False) 52 | 53 | Returns: 54 | trimap 55 | 56 | Raises: 57 | non-binary image, complete foreground erosion 58 | """ 59 | check_image(image); 60 | 61 | pixels = 2*size + 1; ## Double and plus 1 to have an odd-sized kernel 62 | kernel = np.ones((pixels,pixels),np.uint8) ## How many pixel of extension do I get 63 | 64 | if erosion is not False: 65 | erosion = int(erosion) 66 | erosion_kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 67 | image = cv2.erode(image, erosion_kernel, iterations=erosion) ## How many erosion do you expect 68 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 69 | # Error-handler to prevent entire foreground annihilation 70 | if cv2.countNonZero(image) == 0: 71 | print("ERROR: foreground has been entirely eroded"); 72 | sys.exit(); 73 | 74 | dilation = cv2.dilate(image, kernel, iterations = 1) 75 | 76 | dilation = np.where(dilation == 255, 127, dilation) ## WHITE to GRAY 77 | remake = np.where(dilation != 127, 0, dilation) ## Smoothing 78 | remake = np.where(image > 127, 200, dilation) ## mark the tumor inside GRAY 79 | 80 | remake = np.where(remake < 127, 0, remake) ## Embelishment 81 | remake = np.where(remake > 200, 0, remake) ## Embelishment 82 | remake = np.where(remake == 200, 255, remake) ## GRAY to WHITE 83 | 84 | path = "./images/results/" ## Change the directory 85 | new_name = '{}px_'.format(size) + name + '_{}.png'.format(number); 86 | cv2.imwrite(os.path.join(path , new_name) , remake) 87 | 88 | """ Uncomment to test the Python code 89 | if __name__ == '__main__': 90 | name = "./images/test_images/test_image_0.png"; # ONLY test_image_0.png shall succeed 91 | image = cv2.imread(name, cv2.IMREAD_GRAYSCALE) 92 | size = 10; 93 | number = name[-5]; 94 | title = "test_image" 95 | 96 | trimap(image, title, size, number, erosion=10); 97 | print("Here") 98 | """ 99 | -------------------------------------------------------------------------------- /images/.DS_Store: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/images/.DS_Store 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polygon 11 | Input: a 2-D polygon with at least three distinct points 12 | a 2-D vertex using (x, y) format 13 | Output: 0 (if outside) or 1 (if inside or attached to the polygon) 14 | """ 15 | c = 0 16 | if (len(Polygon) < 3): 17 | print("ERROR: polygon requires at least three vertices") 18 | sys.exit 19 | elif (len(vertex) != 2): 20 | print("ERROR: vertex is not in 2D format") 21 | sys.exit 22 | 23 | for i in range(len(Polygon)): 24 | if (len(Polygon[i]) != 2): 25 | print("ERROR: vertex of the polygon is not in 2D format") 26 | sys.exit 27 | 28 | check = Path( Polygon ).contains_point( vertex ) 29 | c = (check is True and 1) or (check is False and 0) 30 | return c 31 | 32 | def binary_mask(Polygon, AllPixels, savePNG=False, saveTXT=False): 33 | """ 34 | TODO: Fix this part 35 | Description: Generate a binary mask based on a given 2-D contour polygon 36 | Polygon: The polygon containing contour points 37 | AllPixels: The generated binary mask 38 | savePNG: save the generated mask as a .png file 39 | saveTXT: save the generated mask as a .txt file 40 | """ 41 | rows = int( math.sqrt(len(AllPixels)) ) 42 | cols = int( math.sqrt(len(AllPixels)) ) 43 | final = np.zeros(rows*cols); 44 | 45 | for i in range(rows): 46 | for j in range(cols): 47 | final[i*cols+j] = pnpoly(Polygon, AllPixels[i*cols+j]) 48 | 49 | return final 50 | 51 | if __name__ == "__main__": 52 | Polygon = [[0.0, 0.0], [5.0, 0.0], [5.0, 5.0], [0.0, 5.0]] 53 | # point_00 = pnpoly(Polygon, [2.0, 2.0]) 54 | # point_01 = pnpoly(Polygon, [12.0, 15.0]) 55 | TestPixels = []; 56 | for i in range(10): 57 | for j in range(10): 58 | TestPixels.append( [i,j] ) 59 | 60 | results = binary_mask(Polygon, TestPixels) 61 | # cv2.imshow('img', results) 62 | # cv2.waitKey(0) 63 | # cv2.destroyAllWindows() 64 | 65 | test_poly = "./assets/polygons/raw_mask_30.txt" 66 | test = np.loadtxt(test_poly); 67 | 68 | ROI_x = []; ROI_y = []; ROI_z = []; ROI_xy = []; 69 | for i in range( int( test.size/3 ) ): 70 | ROI_x.append( test[i][0] ) 71 | ROI_y.append( test[i][1] ) 72 | ROI_z.append( test[i][2] ) 73 | ROI_xy.append([test[i][0], test[i][1]]) 74 | 75 | # FIXME 76 | # RawVoxels= []; 77 | # for i in range(512): 78 | # for j in range (512): 79 | # RawVoxels.append( [-275+i*1.074219 , -275+j*1.074219 ] ) 80 | # check_results = binary_mask(ROI_xy, RawVoxels); 81 | # plt.scatter(ROI_x, ROI_y, s=2, color='black') 82 | # plt.show() 83 | -------------------------------------------------------------------------------- /src/feature_extraction.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | import numpy as np 4 | import cv2, os, sys 5 | # Input image is a numpy array with pixel value is BGR 6 | # (opencv default) 7 | 8 | #1. grayscale rgb mean and variance 9 | def get_pixel_summary(image): 10 | img_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) 11 | luminance = img_gray.mean() 12 | red = image[:,:,2].mean() 13 | green = image[:,:,1].mean() 14 | blue = image[:,:,0].mean() 15 | 16 | gray_var = img_gray.var() 17 | red_var = image[:,:,2].var() 18 | green_var = image[:,:,1].var() 19 | blue_var = image[:,:,0].var() 20 | 21 | return luminance, red, green, blue, gray_var, red_var, green_var, blue_var 22 | 23 | #2. distinct pixel rate 24 | def get_dist_pixel_rate(image): 25 | height, width,_ = image.shape 26 | dist_pixel = len(np.unique( [str(x) 27 | for x in image[:,:,:].reshape(-1, 3).tolist()])) 28 | dist_pixel_rate = dist_pixel / float(height * width) 29 | return dist_pixel_rate 30 | 31 | #3. colorfulness 32 | def image_colorfulness(image): 33 | (B, G, R) = cv2.split(image.astype("float")) 34 | rg = np.absolute(R - G) 35 | yb = np.absolute(0.5 * (R + G) - B) 36 | (rbMean, rbStd) = (np.mean(rg), np.std(rg)) 37 | (ybMean, ybStd) = (np.mean(yb), np.std(yb)) 38 | stdRoot = np.sqrt((rbStd ** 2) + (ybStd ** 2)) 39 | meanRoot = np.sqrt((rbMean ** 2) + (ybMean ** 2)) 40 | colorfulness = stdRoot + (0.3 * meanRoot) 41 | return colorfulness 42 | 43 | #4. saturation 44 | def get_saturation(image): 45 | img_hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) 46 | saturation = img_hsv[:,:,1].mean() 47 | return saturation 48 | 49 | #5 blur 50 | def get_blur(image): 51 | blur = cv2.Laplacian(image, cv2.CV_64F).var() 52 | return blur 53 | 54 | #6 sharpness 55 | def get_sharpness(image): 56 | gy, gx = np.gradient(img_gray) 57 | gnorm = np.sqrt(gx**2 + gy**2) 58 | sharpness = np.average(gnorm) 59 | return sharpness 60 | 61 | if __name__ == '__main__': 62 | path = '../images/test_images/test_image_12.png' 63 | image = cv2.imread(path, cv2.IMREAD_ANYCOLOR) 64 | cv2.imshow('Displayed Image', image) 65 | cv2.waitKey(0) 66 | cv2.destroyAllWindows() 67 | -------------------------------------------------------------------------------- /src/foreground_scaling.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | import cv2, os, sys 4 | import numpy as np 5 | from abc import ABC, abstractmethod 6 | 7 | def extractImage(path): 8 | # error handller if the intended path is not found 9 | image = cv2.imread(path, cv2.IMREAD_GRAYSCALE); 10 | return image 11 | 12 | def checkImage(image): 13 | """ 14 | Args: 15 | image: input image to be checked 16 | Returns: 17 | binary image 18 | Raises: 19 | RGB image, grayscale image, all-black, and all-white image 20 | 21 | """ 22 | if len(image.shape) > 2: 23 | print("ERROR: non-binary image (RGB)"); 24 | sys.exit(); 25 | 26 | smallest = image.min(axis=0).min(axis=0); # lowest pixel value; should be 0 (black) 27 | largest = image.max(axis=0).max(axis=0); # highest pixel value; should be 1 (white) 28 | 29 | if (smallest == 0 and largest == 0): 30 | print("ERROR: non-binary image (all black)"); 31 | sys.exit(); 32 | elif (smallest == 255 and largest == 255): 33 | print("ERROR: non-binary image (all white)"); 34 | sys.exit(); 35 | elif (smallest > 0 or largest < 255 ): 36 | print("ERROR: non-binary image (grayscale)"); 37 | sys.exit(); 38 | else: 39 | return True 40 | 41 | 42 | class FGScale(ABC): 43 | """ 44 | An abstract base class that enables image erosion or dilation PRE trimap 45 | Attribute: binary image 46 | Method: scaling with two inputs: image and iterations 47 | """ 48 | def __init__(self, image): 49 | self.image = image; 50 | 51 | @abstractmethod 52 | def scaling(self, image, iteration): 53 | pass 54 | 55 | class Erosion(FGScale): 56 | def __init__(self, image): 57 | self.image = image 58 | 59 | def scaling(self, image, erosion): 60 | erosion = int(erosion) 61 | kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 62 | image = cv2.erode(image, kernel, iterations=erosion) ## The number of erosions 63 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 64 | # Error-handler to prevent entire foreground annihilation 65 | if cv2.countNonZero(image) == 0: 66 | print("ERROR: foreground has been entirely eroded"); 67 | sys.exit(); 68 | return image; 69 | 70 | class Dilation(FGScale): 71 | def __init__(self, image): 72 | self.image = image 73 | 74 | def scaling(self, image, dilation): 75 | dilation = int(dilation) 76 | kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 77 | image = cv2.dilate(image, kernel, iterations=dilation) ## The number of dilations 78 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 79 | # Error-handler to prevent entire foreground domination 80 | height = image.shape[0]; 81 | width = image.shape[1]; 82 | totalpixels = height*width; 83 | n_white_pix = np.sum(image == 255) 84 | 85 | if n_white_pix == totalpixels: 86 | print("ERROR: foreground has been entirely expanded"); 87 | sys.exit(); 88 | return image; 89 | 90 | 91 | ############################################# 92 | ### TESTING SECTION ### 93 | ############################################# 94 | if __name__ == '__main__': 95 | 96 | path = "./images/test_images/test_image_12.png" 97 | image = extractImage(path) 98 | 99 | unit01 = Erosion(image) 100 | new_image = unit01.scaling(image, 2) 101 | 102 | cv2.imshow('Displayed Image', new_image) 103 | cv2.waitKey(0) 104 | cv2.destroyAllWindows() 105 | -------------------------------------------------------------------------------- /test/README.md: -------------------------------------------------------------------------------- 1 | ## Designated for Unit Testing ## 2 | 3 | Issues to be addressed: 4 | 5 | - [ ] Prevent image erosion from eroding the entire image 6 | - [ ] Adaptive method to decide maximum erosion kernel 7 | - [ ] Reject all non-binary images (monochrome, grayscale, and RGB) 8 | - [ ] Unsupervised Learning Method to diminish all non-dominating foreground regions 9 | -------------------------------------------------------------------------------- /test/__pycache__/trimap_module.cpython-36.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/lnugraha/trimap_generator/a279562b0d0f387896330cf88549e67618d1eb7f/test/__pycache__/trimap_module.cpython-36.pyc -------------------------------------------------------------------------------- /test/test_trimap_module.py: -------------------------------------------------------------------------------- 1 | import unittest 2 | from trimap_module import trimap 3 | 4 | class CheckImages(unittest.TestCase): 5 | pass 6 | 7 | 8 | 9 | 10 | if __name__ == '__main__': 11 | unittest.main() 12 | -------------------------------------------------------------------------------- /trimap_class.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | # -*- coding: utf-8 -*- 3 | import cv2, os, sys 4 | import numpy as np 5 | from abc import ABC, abstractmethod 6 | 7 | def extractImage(path): 8 | # error handller if the intended path is not found 9 | image = cv2.imread(path, cv2.IMREAD_GRAYSCALE) 10 | return image 11 | 12 | def checkImage(image): 13 | """ 14 | Args: 15 | image: input image to be checked 16 | Returns: 17 | binary image 18 | Raises: 19 | RGB image, grayscale image, all-black, and all-white image 20 | 21 | """ 22 | if len(image.shape) > 2: 23 | print("ERROR: non-binary image (RGB)") 24 | sys.exit() 25 | 26 | # lowest pixel value; should be 0 (black) 27 | smallest = image.min(axis=0).min(axis=0) 28 | # highest pixel value; should be 1 (white) 29 | largest = image.max(axis=0).max(axis=0) 30 | 31 | if (smallest == 0 and largest == 0): 32 | print("ERROR: non-binary image (all black)") 33 | sys.exit() 34 | elif (smallest == 255 and largest == 255): 35 | print("ERROR: non-binary image (all white)") 36 | sys.exit() 37 | elif (smallest > 0 or largest < 255 ): 38 | print("ERROR: non-binary image (grayscale)") 39 | sys.exit() 40 | else: 41 | return True 42 | 43 | class Toolbox: 44 | def __init__(self, image): 45 | self.image = image 46 | 47 | @property 48 | def printImage(self): 49 | """ 50 | Print image into a file for checking purpose 51 | unitTest = Toolbox(image); 52 | unitTest.printImage(image); 53 | """ 54 | f = open("image_results.dat", "w+") 55 | for i in range(0, self.image.shape[0]): 56 | for j in range(0, self.image.shape[1]): 57 | f.write("%d " %self.image[i,j]) 58 | f.write("\n") 59 | f.close() 60 | 61 | @property 62 | def displayImage(self): 63 | """ 64 | Display the image on a window 65 | Press any key to exit 66 | """ 67 | cv2.imshow('Displayed Image', self.image) 68 | cv2.waitKey(0) 69 | cv2.destroyAllWindows() 70 | 71 | def saveImage(self, title, extension): 72 | """ 73 | Save as a specific image format (bmp, png, or jpeg) 74 | """ 75 | cv2.imwrite("{}.{}".format(title,extension), self.image) 76 | 77 | def morph_open(self, image, kernel): 78 | """ 79 | Remove all white noises or speckles outside images 80 | Need to tune the kernel size 81 | Instruction: 82 | unit01 = Toolbox(image); 83 | kernel = np.ones( (9,9), np.uint8 ); 84 | morph = unit01.morph_open(input_image, kernel); 85 | """ 86 | bin_open = cv2.morphologyEx(self.image, cv2.MORPH_OPEN, kernel) 87 | return bin_open 88 | 89 | def morph_close(self, image, kernel): 90 | """ 91 | Remove all black noises or speckles inside images 92 | Need to tune the kernel size 93 | Instruction: 94 | unit01 = Toolbox(image); 95 | kernel = np.ones( (11,11)_, np.uint8 ); 96 | morph = unit01.morph_close(input_image, kernel); 97 | """ 98 | bin_close = cv2.morphologyEx(self.image, cv2.MORPH_CLOSE, kernel) 99 | return bin_close 100 | 101 | class DEFG(ABC): 102 | """ 103 | DEFG: Dilation or Erosion of Fore Ground 104 | An abstract base class that enables image erosion or dilation PRE trimap 105 | Attribute: binary image 106 | Method: scaling with two inputs: image and iterations 107 | """ 108 | def __init__(self, image): 109 | self.image = image; 110 | 111 | @abstractmethod 112 | def scaling(self, image, iteration): 113 | pass 114 | 115 | class Erosion(DEFG): 116 | def __init__(self, image): 117 | self.image = image 118 | 119 | def scaling(self, image, erosion): 120 | erosion = int(erosion) 121 | kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 122 | image = cv2.erode(image, kernel, iterations=erosion) ## The number of erosions 123 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 124 | # Error-handler to prevent entire foreground annihilation 125 | if cv2.countNonZero(image) == 0: 126 | print("ERROR: foreground has been entirely eroded") 127 | sys.exit() 128 | return image 129 | 130 | class Dilation(DEFG): 131 | def __init__(self, image): 132 | self.image = image 133 | 134 | def scaling(self, image, dilation): 135 | dilation = int(dilation) 136 | kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 137 | 138 | ## The number of dilations 139 | image = cv2.dilate(image, kernel, iterations=dilation) 140 | 141 | ## Any gray-clored pixel becomes white (smoothing) 142 | image = np.where(image > 0, 255, image) 143 | # Error-handler to prevent entire foreground domination 144 | height = image.shape[0] 145 | width = image.shape[1] 146 | totalpixels = height*width 147 | n_white_pix = np.sum(image == 255) 148 | 149 | if n_white_pix == totalpixels: 150 | print("ERROR: foreground has been entirely expanded") 151 | sys.exit() 152 | return image 153 | 154 | def trimap(image, name, size, number, DEFG=None, num_iter=0): 155 | """ 156 | This function creates a trimap based on simple dilation algorithm 157 | Inputs [4]: a binary image (black & white only), name of the image, dilation pixels 158 | the last argument is optional; i.e., how many iterations will the image get eroded 159 | Output : a trimap 160 | """ 161 | checkImage(image) 162 | 163 | row = image.shape[0] 164 | col = image.shape[1] 165 | pixels = 2*size + 1 ## Double and plus 1 to have an odd-sized kernel 166 | kernel = np.ones((pixels,pixels),np.uint8) ## How many pixel extension do I get 167 | if DEFG==None: 168 | pass 169 | elif (DEFG == Dilation): 170 | expand = Dilation(image) 171 | image = expand.scaling(image, num_iter) 172 | elif (DEFG == Erosion): 173 | shrink = Erosion(image) 174 | image = shrink.scaling(image, num_iter) 175 | else: 176 | printf("ERROR: Unspecified foreground dilation or erosion method") 177 | sys.exit() 178 | 179 | dilation = cv2.dilate(image, kernel, iterations = 1) 180 | 181 | dilation = np.where(dilation == 255, 127, dilation)## WHITE to GRAY 182 | remake = np.where(dilation != 127, 0, dilation) ## Smoothing 183 | remake = np.where(image > 127, 200, dilation) ## mark the tumor inside GRAY 184 | 185 | remake = np.where(remake < 127, 0, remake) ## Embelishment 186 | remake = np.where(remake > 200, 0, remake) ## Embelishment 187 | remake = np.where(remake == 200, 255, remake) ## GRAY to WHITE 188 | 189 | ############################################# 190 | # Ensures only three pixel values available # 191 | # TODO: Optimization with Cython # 192 | ############################################# 193 | for i in range(0,row): 194 | for j in range (0,col): 195 | if (remake[i,j] != 0 and remake[i,j] != 255): 196 | remake[i,j] = 127 197 | 198 | path = "./images/results/" ## Change the directory 199 | new_name = '{}px_'.format(size) + name + '_{}.png'.format(number) 200 | cv2.imwrite(os.path.join(path , new_name) , remake) 201 | 202 | ############################################# 203 | ### TESTING SECTION ### 204 | ############################################# 205 | if __name__ == '__main__': 206 | path = "./images/test_images/test_image_9.png" 207 | image = extractImage(path) 208 | size = 20 209 | number = path[-5] 210 | title = "test_image" 211 | # trimap(image, title, size, number, DEFG=None) 212 | trimap(image, title, size, number, DEFG=None) 213 | -------------------------------------------------------------------------------- /trimap_module.py: -------------------------------------------------------------------------------- 1 | #!/usr/bin/env python 2 | import cv2, os, sys 3 | import numpy as np 4 | 5 | def extractImage(path): 6 | # error handller if the intended path is not found 7 | image = cv2.imread(path, cv2.IMREAD_GRAYSCALE) 8 | return image 9 | 10 | def checkImage(image): 11 | """ 12 | Args: 13 | image: input image to be checked 14 | Returns: 15 | binary image 16 | Raises: 17 | RGB image, grayscale image, all-black, and all-white image 18 | 19 | """ 20 | if len(image.shape) > 2: 21 | print("ERROR: non-binary image (RGB)"); sys.exit(); 22 | 23 | smallest = image.min(axis=0).min(axis=0) # lowest pixel value: 0 (black) 24 | largest = image.max(axis=0).max(axis=0) # highest pixel value: 1 (white) 25 | 26 | if (smallest == 0 and largest == 0): 27 | print("ERROR: non-binary image (all black)"); sys.exit() 28 | elif (smallest == 255 and largest == 255): 29 | print("ERROR: non-binary image (all white)"); sys.exit() 30 | elif (smallest > 0 or largest < 255 ): 31 | print("ERROR: non-binary image (grayscale)"); sys.exit() 32 | else: 33 | return True 34 | 35 | class Toolbox: 36 | def __init__(self, image): 37 | self.image = image 38 | 39 | @property 40 | def printImage(self): 41 | """ 42 | Print image into a file for checking purpose 43 | unitTest = Toolbox(image); 44 | unitTest.printImage(image); 45 | """ 46 | f = open("image_results.dat", "w+") 47 | for i in range(0, self.image.shape[0]): 48 | for j in range(0, self.image.shape[1]): 49 | f.write("%d " %self.image[i,j]) 50 | f.write("\n") 51 | f.close() 52 | 53 | @property 54 | def displayImage(self): 55 | """ 56 | Display the image on a window 57 | Press any key to exit 58 | """ 59 | cv2.imshow('Displayed Image', self.image) 60 | cv2.waitKey(0) 61 | cv2.destroyAllWindows() 62 | 63 | def saveImage(self, title, extension): 64 | """ 65 | Save as a specific image format (bmp, png, or jpeg) 66 | """ 67 | cv2.imwrite("{}.{}".format(title,extension), self.image) 68 | 69 | def morph_open(self, image, kernel): 70 | """ 71 | Remove all white noises or speckles outside images 72 | Need to tune the kernel size 73 | Instruction: 74 | unit01 = Toolbox(image); 75 | kernel = np.ones( (9,9), np.uint8 ); 76 | morph = unit01.morph_open(input_image, kernel); 77 | """ 78 | bin_open = cv2.morphologyEx(self.image, cv2.MORPH_OPEN, kernel) 79 | return bin_open 80 | 81 | def morph_close(self, image, kernel): 82 | """ 83 | Remove all black noises or speckles inside images 84 | Need to tune the kernel size 85 | Instruction: 86 | unit01 = Toolbox(image); 87 | kernel = np.ones( (11,11)_, np.uint8 ); 88 | morph = unit01.morph_close(input_image, kernel); 89 | """ 90 | bin_close = cv2.morphologyEx(self.image, cv2.MORPH_CLOSE, kernel) 91 | return bin_close 92 | 93 | 94 | def trimap(image, name, size, number, erosion=False): 95 | """ 96 | This function creates a trimap based on simple dilation algorithm 97 | Inputs [4]: a binary image (black & white only), name of the image, dilation pixels 98 | the last argument is optional; i.e., how many iterations will the image get eroded 99 | Output : a trimap 100 | """ 101 | checkImage(image) 102 | row = image.shape[0] 103 | col = image.shape[1] 104 | pixels = 2*size + 1 ## Double and plus 1 to have an odd-sized kernel 105 | kernel = np.ones((pixels,pixels),np.uint8) ## Pixel of extension I get 106 | 107 | if erosion is not False: 108 | erosion = int(erosion) 109 | erosion_kernel = np.ones((3,3), np.uint8) ## Design an odd-sized erosion kernel 110 | image = cv2.erode(image, erosion_kernel, iterations=erosion) ## How many erosion do you expect 111 | image = np.where(image > 0, 255, image) ## Any gray-clored pixel becomes white (smoothing) 112 | # Error-handler to prevent entire foreground annihilation 113 | if cv2.countNonZero(image) == 0: 114 | print("ERROR: foreground has been entirely eroded") 115 | sys.exit() 116 | 117 | dilation = cv2.dilate(image, kernel, iterations = 1) 118 | 119 | dilation = np.where(dilation == 255, 127, dilation) ## WHITE to GRAY 120 | remake = np.where(dilation != 127, 0, dilation) ## Smoothing 121 | remake = np.where(image > 127, 200, dilation) ## mark the tumor inside GRAY 122 | 123 | remake = np.where(remake < 127, 0, remake) ## Embelishment 124 | remake = np.where(remake > 200, 0, remake) ## Embelishment 125 | remake = np.where(remake == 200, 255, remake) ## GRAY to WHITE 126 | 127 | ############################################# 128 | # Ensures only three pixel values available # 129 | # TODO: Optimization with Cython # 130 | ############################################# 131 | for i in range(0,row): 132 | for j in range (0,col): 133 | if (remake[i,j] != 0 and remake[i,j] != 255): 134 | remake[i,j] = 127 135 | 136 | path = "./images/results/" ## Change the directory 137 | new_name = '{}px_'.format(size) + name + '_{}.png'.format(number) 138 | cv2.imwrite(os.path.join(path, new_name) , remake) 139 | 140 | 141 | ############################################# 142 | ### TESTING SECTION ### 143 | ############################################# 144 | if __name__ == '__main__': 145 | path = "./images/test_images/test_image_11.png" 146 | image = extractImage(path) 147 | 148 | size = 10 149 | number = path[-5] 150 | title = "test_image" 151 | 152 | unit01 = Toolbox(image); 153 | kernel1 = np.ones( (11,11), np.uint8 ) 154 | unit01.displayImage 155 | 156 | opening = unit01.morph_close(image,kernel1) 157 | trimap(opening, title, size, number, erosion=False) 158 | unit02 = Toolbox(opening) 159 | unit02.displayImage 160 | 161 | ######################################################## 162 | ## Default instruction (no binary opening or closing ## 163 | ## trimap(image, title, size, number, erosion=False); ## 164 | ######################################################## 165 | --------------------------------------------------------------------------------