Multi-Scale Retinex Algorithm for Color Images
Multi-Scale Retinex Algorithm (MSR) for color images, ready-to-use implementation
Explore MATLAB source code curated for "彩色图像" with clean implementations, documentation, and examples.
Multi-Scale Retinex Algorithm (MSR) for color images, ready-to-use implementation
Implementation of color image watermarking through Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) with embedded algorithm explanations
Corner detection for color images identifying key feature points to facilitate image matching and feature extraction applications
Color Image Histogram Equalization: Split a color image into red, green, and blue channels, apply histogram equalization independently to each channel, then merge the three processed channels to achieve overall image enhancement. In code implementations, this typically involves using channel separation functions (like cv2.split()), applying histogram equalization algorithms to each channel matrix, and merging results (using cv2.merge()).
This resource contains five categorized folders: (1) MATLAB Programs - featuring 10+ source codes with detailed注释 aligned with textbook algorithm descriptions; (2) Binary Images - suitable for morphological processing and curve evolution experiments via boundary extraction; (3) Grayscale/Color Images - materials for segmentation, smoothing filters, contrast enhancement, color enhancement, and magnification experiments; (4) Video Clips - demonstrating evolutionary processes including GAC model segmentation using variational level sets, image denoising via P-M equation
This source code implements Curvelet feature extraction from both color and grayscale images, designed for subsequent texture image segmentation tasks. The implementation includes multi-scale directional analysis using Fast Discrete Curvelet Transform (FDCT) via wrapping.
Implement local segmentation of color images through MATLAB programming - download and extract the files to begin working with various image processing algorithms
Methods for calculating one-dimensional entropy of images. Read in color images, apply the image information entropy formula, design algorithms to implement entropy calculation, including preprocessing techniques and parameter optimization for enhanced accuracy.
MATLAB-based license plate localization using color image processing, includes test code with sample license plate images for verification
MATLAB implementation of gradient-based edge extraction algorithm for color images, featuring grayscale conversion, smoothing filters, and gradient computation techniques