MATLAB Implementation for Image Recognition Using LBP Algorithm

The image recognition program is implemented using MATLAB, featuring the Local Binary Pattern (LBP) algorithm. This algorithm extracts texture features from images to facilitate image recognition and classification tasks. The LBP algorithm, an abbreviation for Local Binary Pattern, captures texture information by calculating and comparing each pixel in the image with its surrounding neighbors through binary thresholding. The MATLAB implementation allows efficient execution of the LBP algorithm utilizing built-in image processing functions such as im2col for neighborhood operations and histcounts for feature histogram generation. Key implementation steps include: converting images to grayscale, computing LBP codes using circular neighborhoods with bilinear interpolation, and generating uniform pattern histograms for feature vector representation. This implementation enables straightforward integration of texture-based image recognition functionality, supporting both basic and rotation-invariant LBP variants through configurable parameters for radius and neighborhood points.