ANALYSIS ON FEATURE EXTRACTION TOWARDS TEXTURE AND NON-TEXTURE CLASSIFICATION

Abstract

Texture is one of the important characteristics used in identifying objects (or) regions of interest in an image. This can be identified by aerial or satellite photographs, biomedical images and other types of images [1]. In the field of computer vision, texture classification is an important task. Texture classification is used in different pattern recognition application. It retains feature-liked appearance. This paper examines, analyzing the feature extraction towards texture and non-texture classification. In this paper we present texture classification and the feature extraction methods used in the research. Different extraction methods were introduced and used for texture classification problems