Image Processing Source Code Collection

This document presents a comprehensive MATLAB-based source code collection for image processing, encompassing essential operations such as thresholding (using Otsu's method and adaptive approaches), binarization (with morphological post-processing), grayscale transformations (including histogram equalization and gamma correction), and edge detection (implementing Sobel, Canny, and Prewitt operators). While these operations are fundamentally valuable, we further explore their practical applications in image processing workflows. For instance, thresholding serves as a core technique for image segmentation through graylevel classification, binarization enables object detection via connected component analysis, grayscale transformations enhance image contrast using histogram manipulation algorithms, and edge extraction facilitates shape recognition through gradient-based feature detection. By examining the implementation details and algorithmic principles behind each operation—such as computing optimal thresholds or applying convolution kernels for edge detection—users can better leverage this source code collection to process diverse images with improved precision and higher-quality results.