Texture Analysis

Texture Analysis

This chapter reviews and discusses various aspects of texture analysis. The concentration is on the various methods of extracting textural features from images. The geometric, random field, fractal, and signal processing models of texture are presented. The major classes of texture processing problems such as segmentation, classification, and shape from texture are discussed. The possible appli...

Texture analysis

Simplified Texture Spectrum for Texture Analysis

The authors proposed the texture unit-based texture spectrum approach in 1990, which has been used for texture analysis, including texture characterization, texture classification, texture edge detection, and textural filtering. One of the most important disadvantages related to this method is the large number of texture units (6,561) and its redundancy. This paper aims at simplifying the origi...

Texture analysis of the ovarian lesions by CT scan images

Introduction: To explore diagnostic potential of computerize texture analysis methods in discrimination of the normal, benign and malignant ovarian lesions by CT scan imaging.   Materials and Methods: Ovarian CT image database consists of 10 normal, 10 benign and 3 malignant which were reported by radiologist and proven by clinical examinat...

Texture Structure Analysis

Texture analysis plays an important role in applications like automated pattern inspection, image and video compression, content-based image retrieval, remotesensing, medical imaging and document processing, to name a few. Texture Structure Analysis is the process of studying the structure present in the textures. This structure can be expressed in terms of perceived regularity. Our human visua...