Explore MATLAB source code curated for "局部二值模式" with clean implementations, documentation, and examples.
A comprehensive face recognition system based on Local Binary Pattern (LBP) methodology, featuring subroutines for local binarization and histogram feature vector extraction. The system supports integration with face databases for testing recognition accuracy and demonstrates high recognition rates through robust algorithmic implementation.
A face recognition method utilizing monogenic signal descriptors followed by Local Binary Pattern encoding. This approach involves signal processing techniques for feature extraction and pattern encoding algorithms for robust recognition. For reference only - commercial use prohibited, academic research applications permitted.
Primarily for Image Processing, Local Binary Patterns, and Face Recognition Applications
This repository contains both standard Local Binary Pattern implementations and various LBP extension codes with enhanced features for image processing applications.
Local Binary Pattern (LBP) feature extraction method - Complete MATLAB implementation with algorithm explanation and key functions
MATLAB Code Implementation for Local Binary Pattern (LBP) Feature Extraction with Enhanced Algorithmic Descriptions
Adaptive Local Binary Pattern (LBP) with Implementation Insights