{"id":16162519,"url":"https://github.com/sunsided/energy-based-cropping","last_synced_at":"2025-04-07T03:48:21.638Z","repository":{"id":206892598,"uuid":"680321227","full_name":"sunsided/energy-based-cropping","owner":"sunsided","description":"Energy-based cropping, automatic energy thresholding, optimal grayscale conversion and generic SIFT nonsense","archived":false,"fork":false,"pushed_at":"2023-08-18T22:41:06.000Z","size":7543,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-02-13T08:28:27.818Z","etag":null,"topics":["computer-vision","cropping","entropy","image-processing","matlab","sift"],"latest_commit_sha":null,"homepage":"","language":"MATLAB","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/sunsided.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}},"created_at":"2023-08-18T22:40:39.000Z","updated_at":"2023-11-13T00:42:03.000Z","dependencies_parsed_at":"2023-11-13T02:44:11.547Z","dependency_job_id":null,"html_url":"https://github.com/sunsided/energy-based-cropping","commit_stats":null,"previous_names":["sunsided/energy-based-cropping"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fenergy-based-cropping","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fenergy-based-cropping/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fenergy-based-cropping/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sunsided%2Fenergy-based-cropping/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sunsided","download_url":"https://codeload.github.com/sunsided/energy-based-cropping/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247589835,"owners_count":20963022,"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":["computer-vision","cropping","entropy","image-processing","matlab","sift"],"created_at":"2024-10-10T02:30:36.182Z","updated_at":"2025-04-07T03:48:21.620Z","avatar_url":"https://github.com/sunsided.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Feature detection /dev/rand\n\nMatlab scripts for different feature detection purposes.\n\n## Energy-based cropping\n\nIn `entropy_crop`, some examples can be found (`ncropX.m`). Additionally,\n`crop_example.m` automatically derives the energy threshold from inspecting the variation in border regions of the image.\n\n## Conversion\n\nThe code in `conversion` performs different color space conversions to grayscale in order to evaluate the proposed `Gleam` conversion method.\n\n## Sift\n\nThe `sift` directory contains scale-space maxima detection as described in Lowe's paper on SIFT.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunsided%2Fenergy-based-cropping","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsunsided%2Fenergy-based-cropping","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsunsided%2Fenergy-based-cropping/lists"}