MATLAB Code Implementation for Contour Feature Extraction

A key parameter discussed in the research is contour feature extraction, which constitutes one of the essential low-level features in image processing. For my Master's thesis, I specifically developed MATLAB code to implement contour feature extraction. The extraction process involves image preprocessing followed by the application of specific algorithms to detect and extract contours from images. The implementation typically utilizes edge detection operators like Canny or Sobel, combined with contour tracing algorithms to obtain continuous boundary points. In my research, I conducted an in-depth investigation of various contour feature extraction algorithms, including comparative analysis and performance evaluation to identify the most effective methodology. Through contour feature extraction implementation, I successfully obtained shape information of objects within images, which proves highly valuable for subsequent image analysis and recognition tasks. The code includes functions for feature representation such as Fourier descriptors or moment invariants to quantitatively describe contour characteristics.