Explore MATLAB source code curated for "中值滤波" with clean implementations, documentation, and examples.
MATLAB image preprocessing including grayscale conversion, logarithmic transformation, histogram equalization, linear smoothing filters, median filtering, adaptive filtering, image sharpening, image binarization, various edge detection operators, and their code implementations
Commonly used SAR image filtering algorithms including initial value filtering, median filtering, Wiener filtering, Lee filtering, Kuan filtering, and more, with implementation details
MATLAB Image Processing with Code Implementation - Includes image smoothing (mean and median filtering) and image sharpening (Laplacian, Roberts, Prewitt, and Sobel operators) with algorithm explanations and key function descriptions.
This repository contains our implementation code for neighborhood averaging and median filtering algorithms developed during our digital image processing studies, featuring comparative analysis and practical experiments.
Recently developed custom source code for median and mean filtering algorithms, now sharing with the community for educational and practical applications.
This program package contains implementations of median filtering, mean filtering, adaptive median filtering, and an enhanced salt-and-pepper noise filtering algorithm. The first three methods serve as benchmarks for comparison with the fourth method, which demonstrates superior performance in removing salt-and-pepper noise from images. All implementations include efficient matrix operations and sliding window techniques for optimal image processing performance.
MATLAB implementation examples for mean filtering, weighted filtering, and median filtering techniques applied to image and signal processing applications
A MATLAB GUI-based application implementing multiple image denoising techniques including wavelet denoising and median filtering, successfully tested and operational.
A straightforward median filtering algorithm with concise and comprehensible MATLAB code, designed for efficient image noise reduction
Image preprocessing algorithms implemented in MATLAB, including median filtering, morphological filtering, binarization processing, and image background correction with code implementation details.