{"id":18604301,"url":"https://github.com/hangsz/imageprocess","last_synced_at":"2026-06-19T18:31:45.192Z","repository":{"id":112796963,"uuid":"65437945","full_name":"hangsz/imageProcess","owner":"hangsz","description":"Three image-processing algorithms.","archived":false,"fork":false,"pushed_at":"2018-01-29T13:00:10.000Z","size":10184,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-05-16T19:08:21.366Z","etag":null,"topics":["image-processing","qt5"],"latest_commit_sha":null,"homepage":"","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"lgpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/hangsz.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":"2016-08-11T04:16:22.000Z","updated_at":"2023-04-11T17:26:58.000Z","dependencies_parsed_at":null,"dependency_job_id":"a21a6940-2c51-45a9-a08f-b458610dd318","html_url":"https://github.com/hangsz/imageProcess","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hangsz/imageProcess","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hangsz%2FimageProcess","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hangsz%2FimageProcess/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hangsz%2FimageProcess/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hangsz%2FimageProcess/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hangsz","download_url":"https://codeload.github.com/hangsz/imageProcess/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hangsz%2FimageProcess/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":262924943,"owners_count":23385457,"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":["image-processing","qt5"],"created_at":"2024-11-07T02:17:27.945Z","updated_at":"2026-06-19T18:31:40.172Z","avatar_url":"https://github.com/hangsz.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# imageProcess\n\n## 1. Connected-component labelling \n### **steps:**\n   \n    Record runs(start end row).    \n    Label runs and store equivalent pairs.\n    Construct a graph and find equivalent list(BFS).\n    Given new labels to all runs.\n    Write labels to each pixel of runs.\n\n## 2. Non-local means filtering\n    Providing four versions according to different modifications based on Bayesian Theory.\n\n## 3. Image sharpening \n    The paplace method is using currently.\n\n## 你可以获得什么？\n    所用算法原理以及实现；\n    程序中涉及Bitmap图像的读写方法；\n    RGB图像与GRAY图像或者Binary图像的转换；\n\n## `下载`\n    Download文件夹内放置了UI包装后的软件，\n    具有批量处理功能，随意下载使用。\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhangsz%2Fimageprocess","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhangsz%2Fimageprocess","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhangsz%2Fimageprocess/lists"}