Texture Analysis plays an important role in the interpretation, understanding and recognition of terrain, biomedical or microscopic images. To achieve high accuracy in classification the present paper proposes a new method on textons. Each texture analysis method depends upon how the selected texture features characterizes image. Whenever a new texture feature is derived it is tested whether it...

Studies with mammograms have demonstrated a relationship between parenchymal texture and breast cancer risk. Although promising, texture analysis in mammograms is limited by the effect of tissue superimposition. Digital Breast Tomosynthesis (DBT) is a novel tomographic x-ray breast imaging modality that alleviates the effect of tissue superimposition. We explore the potential advantages of DBT ...

Texture is an important visual attribute used to describe the pixel organization in an image. As well as it being easily identified by humans, its analysis process demands a high level of sophistication and computer complexity. This paper presents a novel approach for texture analysis, based on analyzing the complexity of the surface generated from a texture, in order to describe and characteri...

Texture analysis describes a variety of image-analysis techniques that quantify the variation in surface intensity or patterns, including some that are imperceptible to the human visual system. Texture analysis may be particularly well-suited for lesion segmentation and characterization and for the longitudinal monitoring of disease or recovery. We begin this review by outlining the general pro...

Texture Analysis has been an active area of research over the past twenty five years. Today, texture analysis plays an important role in many tasks ranging from remote sensing to bio-medical image analysis. Textures, the repeated patterns, have different frequency components along different orientations. Texture analysis is important in many applications like image database retrieval, industria...

In this work, we demonstrate the promise and perils of texture analysis and texture synthesis applied to near-regular patterns. We propose a novel view of texture as statistical departures from regular patterns. We shall show that a true understanding of near-regular texture structures based on their translation symmetries can enhance existing methods of texture synthesis. Our texture synthesis...

In this paper we present our ongoing work for getting the discrimination power of the Fuzzy Texture Spectrum encoding. The model we propose provides the classes encoded by the spectrum having outstanding power for getting homogeneous, granulated and structured texture image characterization. Moreover, we provide the membership functions allowing getting the degrees to which an image (or image p...

The research work presented in this paper is to achieve the tissue classification and automatically diagnosis the abnormal tumor region present in Computed Tomography (CT) images using the wavelet based statistical texture analysis method. Comparative studies of texture analysis method are performed for the proposed wavelet based texture analysis method and Spatial Gray Level Dependence Method ...

Purpose – The purpose of this paper is to review and provide a detailed performance evaluation of a number of texture descriptors that analyse texture at micro-level such as local binary patterns (LBP) and a number of standard filtering techniques that sample the texture information using either a bank of isotropic filters or Gabor filters. Design/methodology/approach – The experimental tests w...

many studies have been conducted focusing on the effects of friction coefficient or texture depth on the highway accident risk. however, combined effects of these parameters have not been still addressed. in this research the interaction between friction coefficient, texture depth and accident rate in 30 freeway sections were examined. the accident data were gathered and an apparatus was design...