Use of a single technique for the extraction of diverse features in a texture image usually shows limited capabilities for texture description. Texture features extracted using different techniques can be merged in an attempt to enhance their texture description capability. This paper explores the fusion of optimized moment and Gabor energy texture features. The Fisher linear discriminant analy...

Multiple sclerosis (MS) is a complicated disease characterized by heterogeneous pathology that varies across individuals. Accurate identification and quantification of pathological changes may facilitate a better understanding of disease pathogenesis and progression and help identify novel therapies for MS patients. Texture analysis evaluates interpixel relationships that generate characteristi...

Color models are widely used in image recognition because they represent significant information. On the other hand, texture analysis techniques have been extensively used for facial feature extraction. In this paper; we extract discriminative features related to facial attributes by utilizing different color models and texture analysis techniques. Specifically, we propose novel methods for tex...

Texture analysis plays an increasingly important role in computer vision. Since the textural properties of images appear to carry useful information for discrimination purposes, it is important to develop significant features for texture. This paper presents a novel technique for texture extraction and classification. The proposed feature extraction technique uses 2D–DFT transformation. A combi...

The importance of texture analysis and classification in image processing is well known. However, many existing texture classification schemes suffer from a number of drawbacks. A large number of features are commonly used to represent each texture and an excessively large image area is often required for the texture analysis, both leading to high computational complexity. Furthermore, most exi...

Introduction: Early detection and treatment of thyroid nodules increase the cure rate and provide optimal treatment. Ultrasound is the chosen imaging technique for assessment of thyroid nodules. Confirmation of the diagnosis usually demands repeated fine needle aspiration biopsy (FNAB). So, current management, has morbidity and non zero mortality. The goal of the present study ...

This paper presents image segmentation and texture analysis algorithms on synthetic and real images. This research work demonstrates the considerable variability in an image understanding system performance based on different choices of image segmentation and texture analysis algorithms used. This research work includes results of a segmentation method to extract the object based on color and t...

This paper proposes to adapt the techniques of image texture analysis to the context of audio signals. Dynamics of audio frame-level features are particularly difficult to model, although they have been identified as crucial perceptive dimensions of timbre perception. Recent studies have given ample evidence that traditional means to model data dynamics, such as delta-coefficients, texture wind...

We present a new method of fractal-based texture analysis, using the multiscale fractional Brownian motion texture model, and a new parameter, intermittency. The intermittency parameter p describes a degree of presence of the textural information: a low value of p implies a very lacunar texture. The multi-scale fractional Brownian motion model allows to construct multiregime textures in the fre...

Texture retrieval is a vital branch of content-based image retrieval. Rotation-invariant texture retrieval plays a key role in texture retrieval. This paper addresses three major issues in rotation-invariant texture retrieval: how to select the texture measurement methods, how to alleviate the influence of rotation for texture retrieval and how to apply the proper multi-scale analysis theory fo...