Source Code for Content-Based Image Retrieval Using Texture Features and Color Histograms
Source code implementation for content-based image retrieval leveraging texture analysis and color histogram features with algorithm explanations
MATLAB Implementation for Computing Gray-Level Co-occurrence Matrix (GLCM)
A MATLAB program for calculating Gray-Level Co-occurrence Matrix (GLCM) with eight-dimensional texture feature extraction, referenced from "Image Retrieval Based on Color Space and Texture Features." This implementation processes input image data and returns an 8D texture feature row vector suitable for image analysis and retrieval systems.
MATLAB Code Implementation for Wavelet-Based Feature Extraction
Wavelet Feature Extraction in MATLAB with Focus on Texture Characteristics
Local Binary Pattern (LBP) Operators for Image Texture Analysis
An introduction to three distinct Local Binary Pattern (LBP) operators for extracting local texture features from images, with implementation insights.
Extracting Texture Features from Images
MATLAB implementation for extracting image texture features including variance, entropy, angular second moment, with code demonstrations and algorithm explanations.
Texture Feature Extraction Algorithm Using Gray-Level Co-occurrence Matrix
This texture feature extraction algorithm computes gray-level co-occurrence matrices along four directions, which are then utilized as texture descriptors for image analysis.
MATLAB Code Implementation for Feature Extraction
Feature Extraction: Implementation of texture and shape feature extraction from marked image regions with comprehensive annotations
Image Texture Feature Extraction with MATLAB Implementation
A MATLAB-based program for extracting image texture features, applicable in image processing applications with detailed algorithm explanations
Algorithms and Applications for Color, Shape, and Texture Feature Extraction
Comprehensive methods for color, shape, and texture feature extraction with practical implementations and applications across multiple domains.
Methods for Texture Feature Extraction in Image Retrieval
A method for texture feature extraction in image retrieval. This paper presents an analytical approach based on Gabor filters and Gabor wavelet transforms for extracting texture features, with Gaussian normalization applied to Gabor wavelets to improve both speed and accuracy in image retrieval systems. Implementation involves filtering operations and wavelet coefficient analysis using specific parameter configurations.