{"id":27301143,"url":"https://github.com/t4vexx/image-processing","last_synced_at":"2026-04-24T16:05:56.543Z","repository":{"id":285738566,"uuid":"948836014","full_name":"T4vexx/Image-Processing","owner":"T4vexx","description":"This repository contains a collection of Jupyter notebooks and scripts designed to explore various techniques in digital image processing. The techniques covered include image equalization, noise operations, edge detection, and more.","archived":false,"fork":false,"pushed_at":"2025-05-08T12:45:12.000Z","size":3223,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-08T13:43:12.514Z","etag":null,"topics":["cv2","image-processing","python"],"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/T4vexx.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":"2025-03-15T04:10:25.000Z","updated_at":"2025-05-08T12:45:16.000Z","dependencies_parsed_at":"2025-05-08T13:35:17.326Z","dependency_job_id":"53273ac5-d549-47b1-8f66-b829477c9c52","html_url":"https://github.com/T4vexx/Image-Processing","commit_stats":null,"previous_names":["t4vexx/image-processing"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/T4vexx/Image-Processing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/T4vexx%2FImage-Processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/T4vexx%2FImage-Processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/T4vexx%2FImage-Processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/T4vexx%2FImage-Processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/T4vexx","download_url":"https://codeload.github.com/T4vexx/Image-Processing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/T4vexx%2FImage-Processing/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32230431,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-24T13:21:15.438Z","status":"ssl_error","status_checked_at":"2026-04-24T13:21:15.005Z","response_time":64,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["cv2","image-processing","python"],"created_at":"2025-04-12T01:35:52.443Z","updated_at":"2026-04-24T16:05:56.510Z","avatar_url":"https://github.com/T4vexx.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Digital Image Processing\n\nThis repository contains a collection of notebooks and scripts to explore different techniques in digital image processing. The techniques covered include image equalization, noise operations, edge detection, and more.\n\n## Contents\n\n### Notebooks\n\n1. **ImageEqualize.ipynb**\n   - Image equalization methods.\n   - Implementation of contrast stretching and histogram equalization.\n\n2. **ImageOperation.ipynb**\n   - Basic image operations, such as image multiplication and division.\n   - Normalization of results for visualization.\n\n3. **FixNoise.ipynb**\n   - Noise models for images.\n   - Implementation of uniform, Gaussian, and salt-and-pepper noise.\n\n4. **BorderDetection.ipynb**\n   - Introduction to edge detection in images.\n   - 4-neighborhood and 8-neighborhood verification for object detection.\n\n### Main Functions\n\n- **salt_and_pepper_noise**: Adds salt and pepper noise to an image.\n- **uniform_noise**: Adds uniform noise to an image.\n- **gaussian_noise**: Adds Gaussian noise to an image.\n- **verifica4neighborhood**: Verifies objects using 4-neighborhood.\n- **verifica8neighborhood**: Verifies objects using 8-neighborhood.\n\n## Requirements\n\n- Python 3.6 or higher\n- Libraries: `numpy`, `matplotlib`, `opencv-python`\n\n## How to Use\n\n1. Clone the repository:\n   ```bash\n   git clone https://github.com/your-username/your-repository.git\n   ```\n\n2. Install the dependencies:\n   ```bash\n   pip install -r requirements.txt\n   ```\n\n3. Run the notebooks using Jupyter:\n   ```bash\n   jupyter notebook\n   ```\n\n## Contributions\n\nContributions are welcome! Feel free to open issues or submit pull requests.\n\n## License\n\nThis project is licensed under the MIT License. See the [LICENSE](LICENSE) file for more details.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ft4vexx%2Fimage-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ft4vexx%2Fimage-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ft4vexx%2Fimage-processing/lists"}