直方图均衡化 Resources

Showing items tagged with "直方图均衡化"

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 209 views Tagged

Implementation of grayscale conversion, histogram equalization, and median filtering for image preprocessing, enabling identification of landmark objects in images. Various sharpening methods are explored and compared, providing valuable learning resources for beginners in computer vision.

MATLAB 225 views Tagged

Implementation of image processing techniques including: (1) histogram equalization, (2) histogram matching, (3) neighborhood averaging, (4) local enhancement, and (5) median filtering. Complete source code provided for these fundamental image processing operations.

MATLAB 193 views Tagged