MATLAB Code for LBP Feature Extraction in Computer Vision

In the field of computer vision, LBP (Local Binary Pattern) feature extraction is a widely used method. It demonstrates excellent invariance and robustness properties, making it highly applicable in areas such as image recognition and face detection. Our MATLAB implementation provides an efficient solution for LBP feature extraction, leveraging MATLAB's comprehensive Image Processing Toolbox to simplify and optimize the entire process. The code implements the standard LBP algorithm that works by thresholding neighboring pixels against the center pixel value to generate binary patterns, which are then converted to decimal values representing texture features. Key functions include image preprocessing, pixel neighborhood comparison, and histogram-based feature vector generation. The implementation supports both basic LBP and uniform pattern variants for improved computational efficiency. Our MATLAB code allows users to easily perform LBP feature extraction and can be customized according to specific requirements. The modular design enables straightforward modifications for different parameter settings and algorithm optimizations. For additional technical details or customization options, please contact us for further information.