Local Binary Patterns (LBP) was first introduced in the International Pattern Recognition Conference in 1994 by Timo Ojala, Matti Pietik äinen, and David Harwood in the paper Performance evaluation of texture measures with classification based on Kullback discrimination of distributions (https://ieeexplore.ieee.org/document/576366).
In this chapter, you will learn how to create an LBP image type binary feature descriptor and the LBP histogram for the classification of textured and non-textured images. You will learn about the different methods you can use to calculate the differences between histograms in order to find a match between various images and how to tune LBP parameters to optimize its performance.
This chapter will cover the following topics:
- Processing images using LBP
- Applying LBP to texture recognition
- Matching...
