{"id":16282908,"url":"https://github.com/dito97/canny","last_synced_at":"2025-04-08T18:22:41.700Z","repository":{"id":124235027,"uuid":"377132997","full_name":"DiTo97/canny","owner":"DiTo97","description":"Digital Signal and Image Processing (90520) final project at UniGe","archived":false,"fork":false,"pushed_at":"2021-06-15T12:39:16.000Z","size":20364,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-03T12:56:49.830Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/DiTo97.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2021-06-15T11:05:49.000Z","updated_at":"2021-06-15T12:39:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"61d0a82d-aaa5-4b25-9f40-64373bcb7427","html_url":"https://github.com/DiTo97/canny","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/DiTo97%2Fcanny","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2Fcanny/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2Fcanny/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DiTo97%2Fcanny/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DiTo97","download_url":"https://codeload.github.com/DiTo97/canny/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247898861,"owners_count":21014793,"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":[],"created_at":"2024-10-10T19:12:01.293Z","updated_at":"2025-04-08T18:22:41.668Z","avatar_url":"https://github.com/DiTo97.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image segmentation\n\nAn in-depth overview of the problem of image segmentation within the digital image processing chain. The paper describes various approaches to image segmentation, i.e., region-oriented, line-oriented and hybrid approaches, and later focuses on edge detection as an example of image segmentation by analyzing Canny's ideal formal edge detector introduced in J. Canny, A Computational Approach to Edge Detection, 1986.\n\n## Folder struccture\n\n- `notebook` folder contains a Jupyter notebook with a Canny edge detector's implementation from scratch and related experiments against OpenCV's base implementation;\n\n- `report` folder contains an overview of image segmentation with an edge detection perspective.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdito97%2Fcanny","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdito97%2Fcanny","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdito97%2Fcanny/lists"}