彩色图像 Resources

Showing items tagged with "彩色图像"

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()).

MATLAB 210 views Tagged

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

MATLAB 223 views Tagged

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.

MATLAB 236 views Tagged

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 171 views Tagged