{"id":26380084,"url":"https://github.com/rahulpatel2002/imageprocessing-edgedetection","last_synced_at":"2025-06-11T13:07:56.352Z","repository":{"id":275017682,"uuid":"923651562","full_name":"RAHULPATEL2002/ImageProcessing-EdgeDetection","owner":"RAHULPATEL2002","description":"MATLAB implementation of edge detection using Laplacian operators, unsharp masking, and highboost filtering. 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Laplacian Operator\n2. Unsharp Masking\n3. Highboost Filtering\n\n---\n\n## **Features**\nThis MATLAB script performs the following tasks:\n- Converts an image to grayscale (if not already grayscale).\n- Applies various Laplacian filters with different center coefficients.\n- Enhances image sharpness using Unsharp Masking.\n- Performs Highboost Filtering to improve image details.\n- Displays and compares results visually.\n\n---\n\n## **How to Use**\n1. Clone or download this repository to your local system.\n2. Ensure MATLAB (R2020b or later) and the Image Processing Toolbox are installed.\n3. Run the script `lab09_edges.m` in MATLAB.\n4. The script will display the results of different edge detection methods including Laplacian, Unsharp Masking, and Highboost Filtering.\n\n---\n\n## **Prerequisites**\n- MATLAB R2020b or later.\n- Image Processing Toolbox.\n---\n\n## **Instructions**\n1. Save the file as `lab09_edges.m`.\n2. Open MATLAB and navigate to the directory containing the script.\n3. Run the script in MATLAB by typing `lab09_edges` in the command window.\n4. The script will:\n   - Read and convert the input image to grayscale.\n   - Apply Laplacian filters with different coefficients.\n   - Perform Unsharp Masking with different kernel sizes.\n   - Apply Highboost Filtering with different boost factors.\n   - Display the processed images in separate figure windows.\n\n---\n\n## **Example Results**\n### **Laplacian Edge Detection**\n![Screenshot 2025-02-02 211018](https://github.com/user-attachments/assets/318da6fd-c870-4e47-bc52-2f36f69da0cc)\n\n### **Unsharp Masking**\n![Screenshot 2025-02-02 211028](https://github.com/user-attachments/assets/ad83a36c-eb30-4d2b-bd71-cfd12069e4f8)\n\n\n### **Highboost Filtering**\n![Screenshot 2025-02-02 211040](https://github.com/user-attachments/assets/ca3ee9ae-3fb2-463e-83f1-1da8e8c4d87d)\n\n---\n\n## **Author**\n**Rahul Patel**  \n*Electronics and Communication Engineering Student*  \n*Date: Febrary 02, 2025*\n\n---\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulpatel2002%2Fimageprocessing-edgedetection","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Frahulpatel2002%2Fimageprocessing-edgedetection","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Frahulpatel2002%2Fimageprocessing-edgedetection/lists"}