LBP Feature Extraction

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Resource Overview

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.

Detailed Documentation

LBP (Local Binary Pattern) is an operator used to describe local texture features in images. The original LBP algorithm, proposed in 1994, captures the relationship between each pixel and its surrounding pixels. Through subsequent research, LBP has been continuously improved with innovations like rotation-invariant LBP patterns and uniform LBP patterns. Code implementation generally involves thresholding neighboring pixels against the center pixel to form binary patterns, which are then converted to decimal values for texture representation. These enhancements have expanded LBP's applications in image processing and pattern recognition, enabling more accurate texture description and improved performance in image analysis and recognition tasks.

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