Explore MATLAB source code curated for "LBP特征提取" with clean implementations, documentation, and examples.
Gabor wavelet-based face recognition system utilizing LBP feature extraction, PCA, and LPP dimensionality reduction. A graduation project focusing on algorithm implementation for optimized facial recognition under challenging conditions.
LBP (Local Binary Pattern) is an operator used to describe local texture features in images. The original LBP, proposed in 1994, captures relationships between each pixel and its surrounding pixels. Various improvements led to extended versions like rotation-invariant LBP and uniform LBP patterns. Implementation typically involves comparing pixel intensities with neighbors to generate binary codes that encode texture information.
An LBP-based feature extraction detection algorithm for face recognition offers enhanced precision, making it the preferred choice for facial recognition feature extraction with robust implementation capabilities.
MATLAB implementation for LBP image feature extraction, featuring a straightforward program with clear algorithmic explanations and practical code examples.
MATLAB implementation of LBP feature extraction with getmapping.m defining three different LBP patterns and lbp.m containing the core implementation using efficient sliding-window approach for whole-image LBP transformation without regional partitioning.
MATLAB implementation of Local Binary Pattern (LBP) feature extraction algorithm for computer vision applications, including image processing techniques and feature vector generation methods.