Texture Classification of 3D MR Color Images Using 3D Diagonal Rank Filters

Abstract

The term ‘texture’ refers to patterns arranged in an order in a line or a curve. Textures allow one to make a meaningful interpretation of certain geometric regularity of spatially repeated patterns. In addition, texture also exhibits useful information about spatial distribution of color or gray intensities in an image. Correct interpretation of  latent textures of various tissues in a body is an important requirement for a surgeon as a preoperative measure. Mostly, extraction of directional textures in an MR scanned 3D image is carried out in all three orthogonal axes of 3D geometry. Alternatively, this paper proposes a novel technique for extracting directional textures of a 3D MR image in all six diagonal axesseparately.