{"id":30462682,"url":"https://github.com/moh-27sl/image-alignment--python-edition","last_synced_at":"2026-04-15T13:32:45.696Z","repository":{"id":309741218,"uuid":"1037390528","full_name":"Moh-27SL/Image-alignment--PYTHON-EDITION","owner":"Moh-27SL","description":"Alignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.","archived":false,"fork":false,"pushed_at":"2025-08-13T14:03:46.000Z","size":1063,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-24T02:23:02.119Z","etag":null,"topics":["ai","classical-computer-vision","classical-image-processing","computer-vision","computervision","image-alignment","image-processing","imageprocessing","neural-network","numpy","opencv","python","python3"],"latest_commit_sha":null,"homepage":"","language":"Python","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/Moh-27SL.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,"zenodo":null}},"created_at":"2025-08-13T13:57:08.000Z","updated_at":"2025-08-13T14:06:01.000Z","dependencies_parsed_at":"2025-08-13T16:10:15.706Z","dependency_job_id":"ee0405db-133d-49ea-a545-2b8d1a22cc78","html_url":"https://github.com/Moh-27SL/Image-alignment--PYTHON-EDITION","commit_stats":null,"previous_names":["moh-27sl/image-alignment--python-edition"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/Moh-27SL/Image-alignment--PYTHON-EDITION","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Moh-27SL%2FImage-alignment--PYTHON-EDITION","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Moh-27SL%2FImage-alignment--PYTHON-EDITION/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Moh-27SL%2FImage-alignment--PYTHON-EDITION/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Moh-27SL%2FImage-alignment--PYTHON-EDITION/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Moh-27SL","download_url":"https://codeload.github.com/Moh-27SL/Image-alignment--PYTHON-EDITION/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Moh-27SL%2FImage-alignment--PYTHON-EDITION/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273452971,"owners_count":25108469,"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","status":"online","status_checked_at":"2025-09-03T02:00:09.631Z","response_time":76,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["ai","classical-computer-vision","classical-image-processing","computer-vision","computervision","image-alignment","image-processing","imageprocessing","neural-network","numpy","opencv","python","python3"],"created_at":"2025-08-23T23:02:03.847Z","updated_at":"2026-04-15T13:32:45.633Z","avatar_url":"https://github.com/Moh-27SL.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Image-alignment--PYTHON-EDITION\nAlignment of an unaligned image with a base/reference image using feature detection, feature matching, and homography in OpenCV.\n\n## Features\n- Detects keypoints and descriptors using **ORB** (can be swapped with AKAZE or SIFT for higher accuracy).\n- Matches features with **Brute Force Hamming** matcher.\n- Filters matches to keep only the best ones.\n- Computes a **homography matrix** to warp the unaligned image into alignment with the base image.\n- Optionally saves the aligned result to a file.\n- Displays side-by-side comparison of the unaligned, base, and aligned images.\n\n---\n\n## Example Output\n ![EXAMPLE](exmpl.PNG)\n---\n\n## How It Works\n1. **Read the images** — Load both base and unaligned images.\n2. **Resize** — Ensure both images have the same dimensions.\n3. **Feature Detection** — Use ORB to detect keypoints and compute descriptors.\n4. **Feature Matching** — Match descriptors between the two images.\n5. **Filter Matches** — Keep the top matches (default: best 10%).\n6. **Compute Homography** — Estimate the perspective transformation between matched points.\n7. **Warp Image** — Apply the transformation to align the unaligned image with the base.\n\n---\n\n*Developed by Mohammed Yasser Mohammed* \n*call me ;)*\n\n\n*email : es-mohamed.yasser2027@alexu.edu.eg* \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoh-27sl%2Fimage-alignment--python-edition","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmoh-27sl%2Fimage-alignment--python-edition","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoh-27sl%2Fimage-alignment--python-edition/lists"}