Texture is a surface property which is used to identify and recognize the object. Texture analysis is important in many applications of computer image analysis for classification and segmentation of images based on local spatial patterns of intensity or color. In texture classification the goal is to assign an unknown sample image to one set of known texture classes. The proposed method is text...

Optimal texture analysis algorithms for describing degradation of carpets are identified. Experimental design is applied to select from a set of texture analysis algorithms those optimal for identifying texture changes due to degradation of carpets. The degree of wear of a degraded carpet is quantified by comparing its texture to the original texture. The set of texture algorithms is applied on...

A complete texture image retrieval system includes two techniques: texture feature extraction and similarity measurement. Specifically, similarity measurement is a key problem for texture image retrieval study. In this paper, we present an effective similarity measurement formula. The MIT vision texture database, the Brodatz texture database, and the Outex texture database were used to verify t...

The unique iris structures motivate the development of an automatic identification system based on iris characteristic. Texture analysis with multichannel filtering approach is meant to extract feature from iris texture images and encode them into a compact and unique information for each iris. One of the tools that can analyze texture image in multiresolution approach is wavelet transform. In ...

computer graphics, texture mapping, interpolation, texture coordinates, texture derivatives, anti-aliasing This paper describes an algorithm for calculating texture coordinates and their partial derivatives during scan conversion of planar polygons. These values are required in texture mapping for antialiasing algorithms, where a resampling filter combines texture elements (a.k.a. texels) in a ...

Texture is one of the important characteristics used in identifying objects. Texture analysis plays an important role in image analysis and pattern recognition. In this paper a new set of features obtained from the 1-D MRT is shown to be useful for texture analysis. Experiments performed on 30 samples of Brodatz texture images indicate that these features can be used for texture classification.

This paper presents new fixed-rate texture compression systems for RGB and RGBA images, which use variable precision differential encoding for the color codewords, resulting in reduced compression artifacts, in particular for smooth color variations. Experiments using hundreds of textures show that they achieve higher quality than the commonly used S3TC at the same compression ratio or (for RGB...

In Chinese calligraphy cao shu is regarded as a kind of free form art which differs from other styles greatly in its less constrained strokes and brush textures. In this paper we present a framework for synthesizing cao shu realistically. In our system, we adopt different brush texture patches (BTPs) collected from hand-written artworks to represent the solid and hollow strokes appearing in cao...

It is well known that multi-chart parameterization methods introduce seams over the object being parameterized. This causes serious problems for several applications, like texture filtering and simulations in texture domain (e.g. fluid simulations). In this paper we present a set of two techniques, collectively known as ’Continuity Mapping’, that when used together make a multi-chart parameteri...

This paper presents the comparison of Texture classification algorithms based on Gabor Wavelets. The focus of this paper is on feature extraction scheme for texture classification. The texture feature for an image can be classified using texture descriptors. In this paper we have used Homogeneous texture descriptor that uses Gabor Wavelets concept. For texture classification, we have used onlin...