MATLAB Code Implementation for Texture Feature Extraction
Texture feature extraction with comparative program implementations, suitable for feature extraction in graphics and image processing applications.
Feature Extraction Based on Image Gray-Level Co-occurrence Matrix
Code implementation for feature extraction using image gray-level co-occurrence matrix, supporting feature calculation in four directions: 0°, 45°, 90°, and 135°, with optional distance parameter configuration.
Image Registration Using Thin Plate Splines
Image registration process using thin plate splines involves the following steps: First, feature extraction from both images to obtain feature points; then finding matching feature pairs through similarity measurement. Accurate feature extraction ensures successful feature matching. Therefore, finding feature extraction methods with good invariance and accuracy is crucial for matching precision. This implementation uses thin plate splines for image registration, which provides smooth deformation fields while minimizing bending energy.
Face Recognition System Using KNN Classifier
A face recognition program implementing KNN classifier with intra-class and inter-class distance criteria, featuring advanced feature extraction techniques.
A Simple Speaker Recognition System with MATLAB Implementation
This program designs and implements a basic speaker recognition system using MATLAB. Key functional modules include speech signal input management, feature extraction for speech discrimination, and speaker authentication. The system utilizes MFCC (Mel-Frequency Cepstral Coefficients) for feature extraction and GMM (Gaussian Mixture Models) for pattern matching, providing a comprehensive solution with additional modules for error handling and user interface.
MATLAB Implementation of Simulated Annealing Algorithm
Simulated Annealing Program: This code implements feature extraction in pattern recognition using the simulated annealing method. Users can easily enhance the algorithm's performance through modifications such as temperature schedule adjustments, memory mechanism integration, or combining with genetic algorithms.
MATLAB Implementation for Image Segmentation
Image segmentation, morphological processing, feature extraction, and recognition classification with MATLAB code examples
Shadow Detection Source Code
This repository contains the official implementation from Dr. Lalonde's ECCV 2010 paper (Carnegie Mellon University), featuring comprehensive image processing workflows including image segmentation, feature extraction, and AdaBoost classification. The code employs sophisticated features such as color ratios, texture analysis, and skewness measurements, integrating road scene context for robust shadow detection. The implementation demonstrates high detection accuracy while requiring substantial computational time, making it valuable for shadow detection research and development.
Gabor Wavelet-Based Texture Feature Extraction from Images
Implementation of Gabor wavelet texture feature extraction using MATLAB, demonstrating effective performance with detailed code-oriented explanations.
MATLAB Code Implementation for Palmprint Recognition
A palmprint recognition program utilizing Gabor filters for feature extraction and Support Vector Machine (SVM) for classification