The analysis of texture in images is an important area of study. Image benchmarks such as Meastex and Vistex have been developed for researchers to compare their experiments on these texture benchmarks. In this paper we compare five different texture analysis methods on these benchmarks in terms of their recognition ability. Since these benchmarks are limited in terms of their content, we have ...

In this paper we propose a technique for classifying images by modeling features extracted at di erent scales. Speci cally, we use texture measures derived from Pap smear cell nuclei images using a Grey Level Co-occurrence Matrix (GLCM). For a texture feature extracted from the GLCM at a number of distances we hypothesise that by modeling the feature as a continuous function of scale we can obt...

in this study, ultrafiltrated feta cheese was prepared from cow’s milk ultrafiltraton retentate and soymilk blend. rennet and calcium chloride were used simultaneously as coagulant to coagulate cow’s milk proteins and soymilk proteins, respectively. then, the effect of storage period on physical (texture profile analysis test, penetration test), chemical (total solids, protein, fat) and sensory...

In this paper, texture analysis based on wavelet transformations is elaborated. The paper is meant as a practical guideline through some aspects of a wavelet-based texture analysis task. The following aspects of the problem are discussed: discrete and continuous wavelet decompositions, texture features for grey-level textures, extensions to colour texture and rotation-invariant features, and cl...

| This report gives an introduction to the application of wavelet based multiscale image analysis methods to texture analysis. It outlines the basic methods and comments on design issues. It also points to the literature and connections with related methods. The unnnishedness of the research in this area becomes clear from the discussion of some extra issues and from a short list of practical a...

This paper describes the state of the art in segmentation algorithms of aerial images. Different approaches and object classes are described and their advantages and limitations are shown. First the advantage of multiple input data (e.g., color, infrared, DEM) and the information that can be derived from these sources is discussed. Besides sensor data, “synthetic” input images (e.g., using text...

background: pleurisy is a common extra pulmonary complication of tuberculosis, but current methods for diagnosing it are fairly crude. here we product a meta-analysis for the available evidence on the ability of tumor necrosis factor-? (tnf-?) in pleural fluid to serve as a diagnostic marker of tuberculous pleurisy (tp). materials and methods: we searched the pubmed, embase, and google scholar ...