Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
A MATLAB 7.3 implementation for performing three-level decomposition and reconstruction of images using integer wavelet transform, complete with detailed experimental report, demonstration screenshots, and directory containing all program files including sample images.
A MATLAB program implementation for extracting shape features from images, capable of processing various image formats and generating quantitative descriptors for shape analysis.
IHOG computes a 3D orientation histogram matrix that stores cumulative histogram data for each pixel in an image, enabling efficient orientation-based feature extraction for computer vision applications
Decomposes images into base and detail layers, then applies an innovative filtering technique for significantly improved fusion results with enhanced efficiency through optimized algorithmic implementation.
Application Background: This MATLAB code performs fusion of two source images captured with different focal regions to generate a composite image with uniform focus distribution. Technical Approach: The implementation leverages Contourlet transform-based multi-scale decomposition to enhance fusion quality by preserving directional texture details and edge information through pyramidal directional filter banks.
Apply Fast Fourier Transform (FFT) to input images, extract magnitude and phase components for separate reconstruction, and compare restoration results using MATLAB/Python implementation examples
Iterative Optimal Threshold Segmentation - The algorithm begins by selecting the initial threshold as the average grayscale value T0 of the image. It then partitions the image pixels into two groups using T0, calculates the average grayscale values for each group (TA for pixels below T0, TB for pixels above T0), and computes a new threshold T1 as the average of TA and TB. This process iterates recursively, updating the threshold at each step until convergence is achieved when TK+1 equals TK. The method demonstrates how iterative computation can progressively refine the segmentation boundary for optimal image partitioning.
Self-developed MATLAB source code for implementing histogram equalization on images, featuring image contrast enhancement through pixel value redistribution and histogram flattening
This MATLAB implementation performs color style transfer between images through color distribution matching, with core algorithms encapsulated in colormatch.m
Implementation and comparison of edge detection using Roberts, Prewitt, Sobel, Marr, and Canny operators on input images, with performance evaluation against MATLAB's built-in edge detection functions through code analysis and practical demonstrations.