MATLAB Implementation for Image Roughness and Orientation Analysis

This is a simple MATLAB implementation for calculating roughness and orientation in image processing. The code has been thoroughly debugged and tested, ensuring accurate and reliable performance. The program is developed in MATLAB and designed to compute image roughness and orientation efficiently. It utilizes texture analysis algorithms to extract these features from input images. The implementation includes preprocessing steps like image normalization and employs gradient-based methods for orientation calculation and statistical variance analysis for roughness estimation. Usage is straightforward: simply input your target image into the program and execute to obtain quantitative measurements of roughness and orientation. The interface is designed for user-friendliness, requiring no advanced programming skills. Key functions include image input validation, matrix convolution operations for feature extraction, and result visualization capabilities. Before using this program, ensure MATLAB software is installed and you have basic MATLAB programming knowledge. The code structure follows modular design principles with separate functions for image loading, parameter calculation, and output generation. If you encounter any issues or have suggestions during implementation, please contact us for support. We're committed to assisting with your image processing tasks and welcome feedback for improvement. We hope this tool proves valuable for your work and studies. For additional requirements or inquiries, please don't hesitate to reach out. Thank you for using our implementation!