LBP Feature Representation and Classification Principles for Texture Patterns

LBP Feature Representation and Classification Principles for Texture Patterns: This method involves defining a template that operates on each pixel in the original image. The template compares pixel values in the neighborhood region surrounding the center point with the center pixel value itself, assigning different weights to comparison results from different positions. Consequently, the transformed value for each pixel is represented by the weighted sum of comparison results from all template positions.