Image Texture Segmentation Using Gray-Level Co-occurrence Matrix Method
Image Texture Segmentation Based on Gray-Level Co-occurrence Matrix Approach with Implementation Details
Explore MATLAB source code curated for "图像" with clean implementations, documentation, and examples.
Image Texture Segmentation Based on Gray-Level Co-occurrence Matrix Approach with Implementation Details
Singular Value Decomposition of images with reconstruction techniques to demonstrate the transformation effects
MATLAB implementation for computing horizontal and vertical projections of images, featuring pixel distribution analysis for feature extraction.
Minimum error thresholding algorithm implementation for image segmentation functionality with enhanced code-level explanations.
A MATLAB boundary tracing application designed for binary images, which outputs the coordinate points of detected boundaries.
MATLAB code for Gabor filter implementation, designed for extracting image texture features at various orientations and scales, with detailed algorithm explanation and function descriptions.
This guide demonstrates how to add different types of random noise to images using MATLAB, covering function implementations, proper usage of randn function, and clarifying the distinction between 'send' and 'state' concepts in programming context. Includes practical code examples for noise generation algorithms.
MATLAB-based implementation of copy-move forgery detection in digital images utilizing SURF (Speeded-Up Robust Features) algorithm for feature extraction and matching
MATLAB implementation of information sequence embedding and extraction using DCT and IDCT transforms for digital images
Implementation of curvelet transform-based edge detection for automatic restoration of weather-affected images with enhanced code-level technical descriptions