Analyzing and Extracting Texture Features in the Frequency Domain
A code implementation for analyzing and extracting texture features in the frequency domain, useful for image processing applications
Texture Feature Extraction Using Gray-Level Co-occurrence Matrix
Texture feature extraction based on Gray-Level Co-occurrence Matrix (GLCM). Key feature parameters include: entropy, energy, contrast, and homogeneity.
Extraction Methods for Gray-Level Co-occurrence Matrix and Gray-Level Gradient Co-occurrence Matrix
Gray-Level Co-occurrence Matrix (GLCM) and Gray-Level Gradient Co-occurrence Matrix (GLGCM) extraction methods are significant texture feature extraction techniques implemented using MATLAB with code-oriented implementation details.
Comprehensive Documentation on LBP Basic Algorithm and Its Variants
Detailed Explanation of LBP Basic Algorithm and Variant Implementations
Comprehensive Guide to Color and Texture Descriptors for Content-Based Image Retrieval (CBIR)
In-depth analysis of color and texture feature extraction methods and their implementation in CBIR systems
Comprehensive MATLAB Implementation of Texture Features
MATLAB Code Implementation for Complete Texture Feature Extraction