Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Remove background from signals in MATLAB using advanced morphological operations to enhance foreground detection accuracy. This package includes three implementation files (.M) with complete algorithms and one sample image for demonstration.
After performing wavelet decomposition on an image, we conduct detailed analysis on its vertical high-frequency components and process them using nine distinct sharpness evaluation functions. We compare the advantages and limitations of each evaluation function, providing comprehensive implementation details including key algorithms and MATLAB function usage for image quality assessment.
Steganography tools implementing LSB (Least Significant Bit) techniques to embed text files within true color images while maintaining visual fidelity through RGB channel manipulation.
Exploring chaotic and critical chaotic phenomena in the Duffing oscillator system through computational modeling and visualization techniques
Implementation of image similarity measurement in MATLAB using color histogram-based approach with code examples
This program performs automated face detection on input images, utilizing robust computer vision techniques for reliable performance. Key features include efficient Haar cascade classifiers or deep learning-based approaches for accurate facial region identification.
An effective method for solving low-rank matrix and sparse matrix decomposition, widely applied in image processing applications with code implementation insights.
A MATLAB program that divides an image into 88 blocks, with adjustable coefficients enabling custom segmentation into any number of blocks
Simulating human visual attention mechanisms by identifying rare points and contrast features in images to compute visual attention points, with implementations involving saliency detection algorithms and feature extraction techniques.
Fourier descriptors are used to describe and recognize the shapes of edged objects in images. This MATLAB-based program has been tested and verified as functional, implementing edge detection and Fourier transform algorithms for shape analysis.