While texture synthesis has been well-studied in recent years, real-time techniques remain elusive. To help facilitate real-time texture synthesis, we divide the task of texture synthesis into two phases: a relatively slow analysis phase, and a real-time synthesis phase. Any particular texture need only be analyzed once, and then an unlimited amount of texture may be synthesized in real-time. O...

The analysis of texture parameters is a useful way of increasing the information obtainable from medical images. It is an ongoing field of research, with applications ranging from the segmentation of specific anatomical structures and the detection of lesions, to differentiation between pathological and healthy tissue in different organs. Texture analysis uses radiological images obtained in ro...

Breast cancer is the most common type of cancer among women in the world. Mammography is regarded as an effective tool for early detection and diagnosis of breast cancer. Microcalcification is one of the primary signs of breast cancer. There are various image texture analysis techniques for the detection of the microcalcifications. Screenfilm mammography is still the standard method used to det...

The aim of this chapter is to give experienced and new practitioners in image analysis and computer vision an overview and a quick reference to the “galaxy” of features that exist in the field of texture analysis. Clearly, given the limited space, only a corner of this vast galaxy is covered here! Firstly, a brief taxonomy of texture analysis approaches is outlined. Then, a list of widely used ...

Traditionally texture analysis is approached either by statistically evaluating the distribution of the pixels in a local neighbourhood or by filtering the image with a bank of filters that are applied to capture the changes in the spatial/frequency domain. The aim of this paper is to review and provide a detailed performance evaluation of a number of texture descriptors that analyse texture at...

The paper proposes an algorithm for the script recognition based on the texture characteristics. The image texture is achieved by coding each letter with the equivalent script type (number code) according to its position in the text line. Each code is transformed into equivalent gray level pixel creating an 1-D image. Then, the image texture is subjected to the run-length analysis. This analysi...

Large terrain databases require a great number of polygons and textures. In consequence, transmission of terrain data over slow networks is still worrying. Multiresolution models allow progressive transmission, that is, the transmission of a simple model followed by successive refinements. In this work we describe a new multiresolution model called Geometric-Textured Bitree (GTB) that enables p...

Heterogeneity is a key feature of malignancy associated with adverse tumour biology. Quantifying heterogeneity could provide a useful non-invasive imaging biomarker. Heterogeneity on computed tomography (CT) can be quantified using texture analysis which extracts spatial information from CT images (unenhanced, contrast-enhanced and derived images such as CT perfusion) that may not be perceptibl...

Morphological granulometry has been shown to be effective in a range of texture analysis applications. We describe an extension to the standard approach which allows truly local properties of the texture to be measured at each pixel. The result is a set of texture features which are analogous to those which could be measured for individual texture primitives, if they could be isolated. We demon...

Textures in the hexagonal metals have attracted significant interest over the years because of the use of some hexagonal metals and alloys, e.g. Zircaloy cladding for nuclear reactor fuels, Ti alloys for aerospace and aircraft industry, and Mg alloys for automobile and computer, communication and consumer electronic (3C) appliances. From a mechanistic point of view, hexagonal metals are differe...