作者: Stamos Katsigiannis , Eystratios Keramidas , Dimitris Maroulis
DOI: 10.1007/978-3-642-39289-4_7
关键词:
摘要: In this chapter, a variant of the Local Binary Patterns method that extends ability to cope with noisy texture by utilizing fuzzy modelling techniques is presented. The presented generalised Fuzzy model applied classic as well Contrast measure method, resulting respective logic based methods. Supervised classification experiments were conducted on wide range natural and medical images, degraded different types intensities additive noise, in order evaluate efficiency its fusion other proposed methods outperform for all images indicating coping uncertainty introduced due noise.