{"id":21051265,"url":"https://github.com/mdziegielewska/image-analysis-classification-with-glcm","last_synced_at":"2026-06-20T23:31:52.775Z","repository":{"id":206180035,"uuid":"579310090","full_name":"mdziegielewska/Image-Analysis-Classification-With-GLCM","owner":"mdziegielewska","description":"Image analysis and classification techniques using Grey Level Co-occurrence Matrices (GLCM).","archived":false,"fork":false,"pushed_at":"2024-08-06T15:49:15.000Z","size":24993,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-13T23:21:24.338Z","etag":null,"topics":["glcm","image-classification","image-processing","texture-analysis"],"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/mdziegielewska.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":"2022-12-17T09:06:14.000Z","updated_at":"2024-08-06T15:49:19.000Z","dependencies_parsed_at":null,"dependency_job_id":"31ec73d7-449a-48d3-ba0f-9e3277eae798","html_url":"https://github.com/mdziegielewska/Image-Analysis-Classification-With-GLCM","commit_stats":null,"previous_names":["mdziegielewska/image-analysis-classification-with-glcm"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/mdziegielewska/Image-Analysis-Classification-With-GLCM","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdziegielewska%2FImage-Analysis-Classification-With-GLCM","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdziegielewska%2FImage-Analysis-Classification-With-GLCM/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdziegielewska%2FImage-Analysis-Classification-With-GLCM/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdziegielewska%2FImage-Analysis-Classification-With-GLCM/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mdziegielewska","download_url":"https://codeload.github.com/mdziegielewska/Image-Analysis-Classification-With-GLCM/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mdziegielewska%2FImage-Analysis-Classification-With-GLCM/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34589204,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-20T02:00:06.407Z","response_time":98,"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":["glcm","image-classification","image-processing","texture-analysis"],"created_at":"2024-11-19T15:52:07.021Z","updated_at":"2026-06-20T23:31:52.754Z","avatar_url":"https://github.com/mdziegielewska.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"## Image-Analysis-Classification-With-GLCM\n\n### Project Overview\n\nThis project aims to analyze and classify images using Grey Level Co-occurrence Matrices (GLCM) as a feature extraction method. The goal is to explore the effectiveness of GLCM-based features for image classification tasks.\n\n\n### Project structure\n\n- _image_classification.ipynb_: Contains the core image classification pipeline.\n- _requirements.txt_: Lists project dependencies.\n- _test.csv_: Contains test image data and labels.\n- _texture_analysis.ipynb_: Implements GLCM feature extraction and analysis.\n- _train.csv_: Contains training image data and labels.\n\n### Installation\n\nTo set up the project environment, run the following command in your terminal:\n```\npip install -r requirements.txt\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdziegielewska%2Fimage-analysis-classification-with-glcm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmdziegielewska%2Fimage-analysis-classification-with-glcm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmdziegielewska%2Fimage-analysis-classification-with-glcm/lists"}