{"id":15653252,"url":"https://github.com/tirthajyoti/scikit-image-processing","last_synced_at":"2025-04-30T17:43:10.215Z","repository":{"id":118615048,"uuid":"189951335","full_name":"tirthajyoti/Scikit-image-processing","owner":"tirthajyoti","description":"Image processing examples with Numpy, Scipy, and Scikit-image","archived":false,"fork":false,"pushed_at":"2019-06-29T07:15:33.000Z","size":15087,"stargazers_count":36,"open_issues_count":0,"forks_count":27,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-04-19T08:10:26.435Z","etag":null,"topics":["color","computer-vision","image-analysis","image-processing","image-segmentation","machine-learning","matplotlib","matplotlib-pyplot","numpy","object-detection","python","scikit-image","scipy","segmentation"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/tirthajyoti.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2019-06-03T06:56:11.000Z","updated_at":"2024-11-05T09:42:51.000Z","dependencies_parsed_at":null,"dependency_job_id":"be32d8ad-e301-4403-acf9-cf295d8c02d7","html_url":"https://github.com/tirthajyoti/Scikit-image-processing","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tirthajyoti%2FScikit-image-processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tirthajyoti%2FScikit-image-processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tirthajyoti%2FScikit-image-processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/tirthajyoti%2FScikit-image-processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/tirthajyoti","download_url":"https://codeload.github.com/tirthajyoti/Scikit-image-processing/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":251753390,"owners_count":21638297,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["color","computer-vision","image-analysis","image-processing","image-segmentation","machine-learning","matplotlib","matplotlib-pyplot","numpy","object-detection","python","scikit-image","scipy","segmentation"],"created_at":"2024-10-03T12:45:07.982Z","updated_at":"2025-04-30T17:43:10.184Z","avatar_url":"https://github.com/tirthajyoti.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"### Please feel free to [connect with me here on LinkedIn](https://www.linkedin.com/in/tirthajyoti-sarkar-2127aa7/) if you are interested in data science and machine learning.\n\n---\n\n# Image processing examples with Numpy, Scipy, and Scikit-image\n\n### Requirements\n\n* **Python 3.4+**\n* **NumPy (`$ pip install numpy`)**\n* **SciPy (`$ pip install scipy`)**\n* **MatplotLib (`$ pip install matplotlib`)**\n* **Scikit-image (`$ pip install scikit-image`)**\n\n---\n\n### Testing after install\n\nOpen a Jupyter notebook and execute the following code,\n```\nimport numpy as np\nimport matplotlib.pyplot as plt\nfrom skimage import data, io, filters\n\nimage = data.coins()  # or any NumPy array!\nedges = filters.sobel(image)\nio.imshow(edges)\n```\n\nYou should see the following output. If you see this, you are all set to go!\n\n![sobel_coins](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/sobel_coins.PNG)\n\n---\n\n### Simple NumPy array based operations\n* [Demo of NumPy based image manipulation](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Using_Numpy_image_manipulation.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/tirthajyoti/Scikit-image-processing/master/images/Numpy_image_manipulation.png\" width=\"700\" height=\"200\" /\u003e\n\n* [Block view function and pooling/sampling](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Block_view_mean_max_median_sampling.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/block_view_pooling_sampling.PNG\" width=\"350\" height=\"350\" /\u003e\n\n* [Zooming (interpolation) based on SciPy](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Scipy_zooming.ipynb)\n\n---\n\n### Exposure and color channel manipulations\n* [RGB to gray conversion](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/RGB2Gray.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/tirthajyoti/Scikit-image-processing/master/images/rgb2gray.PNG\" width=\"360\" height=\"200\" /\u003e\n\n* [RGB to HSV (Hue-Saturation-Value) conversion](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/RGB_to_HSV.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://raw.githubusercontent.com/tirthajyoti/Scikit-image-processing/master/images/rgb2hsv.PNG\" width=\"640\" height=\"180\" /\u003e\n\n* [Adapting gray-scale filters to RGB images using special decorator](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Adapt_RGB_decorator.ipynb)\n\n* [Adjusting contrast by filtering regional maxima](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Filtering_regional_maxima.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/filtering_regional_maxima.PNG\" width=\"600\" height=\"170\" /\u003e\n\n* [Local Histogram equalization](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Local_Histogram_Equalization.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/Local_histogram_equalization.PNG\" width=\"400\" height=\"280\" /\u003e\n\n* [Gamma and log contrast](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Gamma_log_contrast_adjustment.ipynb)\n\n* [Tinting grayscale images](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Tint_Grayscale.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/tint_grayscale.PNG\" width=\"400\" height=\"280\" /\u003e\n\n---\n\n### Edges, lines, and contours\n\n* [Finding contours](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Finding_contours.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/finding_contours.png\" width=\"600\" height=\"240\" /\u003e\n\n* [Convex Hull of an image](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Convex_Hull.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/convex_hull.PNG\" width=\"600\" height=\"240\" /\u003e\n\n* [Skeletonize 2-D and 3-D images](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Skeletonize.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/skeletonize.png\" width=\"360\" height=\"280\" /\u003e\n\n* [Marching cubes](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Marching_cubes.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/marching_cubes.PNG\" width=\"400\" height=\"400\" /\u003e\n\n* [Edge operators](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Edge_operators.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/edge_operators.png\" width=\"600\" height=\"400\" /\u003e\n\n---\n\n### Geometrical transformations and registration\n\n* [Swirl](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Swirl.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/Swirl.png\" width=\"400\" height=\"200\" /\u003e\n\n* [Interpolation - edge modes](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Interpolation%20-%20Edge%20modes.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/interpolation_edge_mode.PNG\" width=\"400\" height=\"200\" /\u003e\n\n* [Rescale, resize, downscale](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Rescale_resize_downscale.ipynb)\n\n* [Histogram matching](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Histogram_matching.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/histogram_matching.PNG\" width=\"400\" height=\"130\" /\u003e\n\n* [Structural similarity index](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Structural_similarity_index.ipynb)\n\n### Filtering and restoration\n\n[Hysteresis thresholding](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Hysteresis_thresholding.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/Hysteresis_thresholding.PNG\" width=\"400\" height=\"400\" /\u003e\n\n[Image deconvolution](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Image_deconvolution.ipynb)\n\n[Unsharp mask](https://github.com/tirthajyoti/Scikit-image-processing/blob/master/Unsharp_mask.ipynb)\u003cbr\u003e\n\u003cimg src=\"https://github.com/tirthajyoti/Scikit-image-processing/blob/master/images/unsharp_mask.PNG\" width=\"400\" height=\"400\" /\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fscikit-image-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftirthajyoti%2Fscikit-image-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftirthajyoti%2Fscikit-image-processing/lists"}