MATLAB Code for Five Image Processing Categories with Algorithm Implementations

This package contains five systematically organized folders for comprehensive demonstration. Detailed breakdown below: (1) MATLAB Programs Folder: Contains source code for over 10 MATLAB scripts/functions with implementation注释 directly correlating to textbook algorithm explanations. Key functions include morphological operations, curve evolution algorithms, and variational methods with commented parameter configurations. (2) Binary Images Folder: Provides test images for morphological image processing experiments. Images facilitate boundary extraction operations using bwboundaries() function, enabling curve evolution simulations through active contour implementations. (3) Grayscale and Color Images Folder: Curated image sets for fundamental image processing experiments including: segmentation using region-growing/watershed algorithms, smoothing via Gaussian/median filtering, contrast enhancement with histeq() function, color space transformations, and image magnification techniques using imresize() with interpolation methods. (4) Video Clips Folder: Demonstrates evolutionary processes through visual sequences: "two_cells" showcases GAC model segmentation using improved variational level set methods with edge-based energy function minimization; "denoising" illustrates Perona-Malik (P-M) equation implementation for anisotropic diffusion; additional clips feature Fourier Transform-based linear heat flow evolution for closed curves.