FLBP: Fuzzy Local Binary Patterns

Abstract

In this chapter, a variant of the Local Binary Patterns method that extends the ability of the method to cope with noisy texture by utilizing fuzzy modelling techniques is presented. The presented generalised Fuzzy Binary Patterns model is applied to the classic Local Binary Patterns method as well as to the Local Binary Patterns with Contrast measure method, resulting to the respective fuzzy logic based methods. Supervised classification experiments were conducted on a wide range of natural and medical texture images, degraded by different types and intensities of additive noise, in order to evaluate the efficiency of the Fuzzy Local Binary Patterns method and its fusion with other proposed methods. Fuzzy Binary Patterns based methods outperform the respective methods based on the classic Binary Patterns model for all types of images and noise, indicating the efficiency of fuzzy modelling in coping with the uncertainty introduced to texture due to noise.