The LBP tests the relation between pixel and it's neighbors, encoding this relation into a binary word. This allows detection of patterns/features, while being immune to contrast changes.
Current submission presents pixel-wise implementation, and filtering based implementation, achieving much shorter run-times. Both implementations achieve same results, while running at different passes. Do not use ‘pixelwiseLBP’ unless for educational or debugging purposes.
Current implementation is aligned with "Gray Scale and Rotation Invariant Texture Classification with Local Binary Patterns" from http://www.ee.oulu.fi/mvg/files/pdf/pdf_6.pdf.
This implementation supports multi-color inputs (RGB).
Rotation invariance can be same for all channels, or channel wise manner.
Nikolay S. (2022). Local binary patterns (https://www.mathworks.com/matlabcentral/fileexchange/36484-local-binary-patterns), MATLAB Central File Exchange. Retrieved .
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation > Text Detection and Recognition >
- Image Processing and Computer Vision > Computer Vision Toolbox > Feature Detection and Extraction > Local Feature Extraction > LBP - Local Binary Patterns >
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