Morphological Shape features for Classification of Textures based on Fuzzy Texture Element

Abstract

Texture is an important spatial feature useful for identifying objects or regions of interest in an image. The present paper derives a new set of texture features, which are morphological shape components derived from the fuzzy texture elements of a 3x3 mask. The proposed fuzzy texture element patterns (FTP's) extract textural information of an image with a more complete respect of texture characteristics in all the eight directions instead of only one displacement vector. The proposed FTP's retains discriminating power of texture elements. In the present paper, five simple morphological shape components are evaluated on each of the derived FTP. The experimental results on the five groups of texture images clearly show the efficacy and simplicity of the present method.

A New Approach for Texture Classification Based on Average Fuzzy Left Right Texture Unit Approach

“…The level of this information depends on ordering of the neighbouring pixels. Further, a little work is reported [18,20] in literature to produce strong texture information of an image by separating the neighboring pixels into groups and form a relationship between them. In the cross diagonal approach [21,22], texture information of the image is evaluated by separating the neighbourhood pixels into diagonal and corner pixels.…”