Explore MATLAB source code curated for "直方图均衡化" with clean implementations, documentation, and examples.
This collection contains numerous MATLAB programs focusing on key image processing techniques including gray-level slicing, direct gray-level transformation, histogram specification, and histogram equalization, with enhanced code implementation details and algorithm explanations.
Comprehensive digital image processing implementations including Fourier Transform, Wavelet Transform, Sharpening Algorithms, Histogram Equalization, and more
Implementation programs for several enhanced histogram equalization algorithms: BBHE, DSIHE, MMBEBHE with code structure explanations
Grayscale image histogram equalization; Gradient enhancement; Histogram specification; Grayscale image histogram data; Direct grayscale transformation: Contrast enhancement techniques
MATLAB-implemented source code for two histogram equalization approaches. Includes algorithm implementations suitable for image processing applications.
Implementation of image enhancement and segmentation through wavelet transform with comparative analysis against histogram equalization. This approach involves detailed technical comparisons between different segmentation techniques including thresholding, edge detection, and region growing methods.
Histograms and histogram equalization are techniques used to enhance local contrast in many images, particularly when the useful data in an image has very similar contrast levels. By redistributing brightness values across the histogram, this method improves local contrast without affecting overall contrast. Histogram equalization achieves this by effectively expanding the most frequent intensity ranges. In implementation, this typically involves calculating cumulative distribution functions and mapping original pixel values to new values for optimal dynamic range utilization.
Comprehensive guide to image enhancement techniques including: 1. Grayscale transformation enhancement programs with histogram manipulation 2. Histogram equalization implementation examples 3. Histogram specification algorithms 4. Linear smoothing filters 5. Median filters 6. 4-neighborhood and 8-neighborhood averaging filter algorithms 7. Low-pass filter implementations 8. Butterworth low-pass filter applications with practical image examples and MATLAB code implementation approaches.
Implementing facial expression image data reading through size normalization and histogram equalization approaches, including code-level preprocessing pipeline descriptions for image standardization and enhancement.
This repository contains my custom MATLAB implementation of histogram equalization, along with an alternative algorithm for comparison purposes. I'm also planning to develop an adaptive histogram equalization method that enhances image details more effectively. Your feedback and suggestions are highly appreciated.