A large number of algorithms have been proposed for texture image retrieval and analysis. While each algorithm has its own characteristics and is suitable for indexing some particular categories of images, there is a lacking of an effective strategy to integrate these algorithms to maximize the retrieval performance based on the algorithms available. Our first step in this direction is to build...

This paper describes a method, which removes specularities from image sequences taken by a video camera in uniform straightly-line motion. Specular components, especially strong highlights, raise some problems in object recognition. Based on spatio-temporal image analysis, we are able to detect specular components and reconstruct original texture on the body as diffuse components. Analyzing the...

The display of images on binary output hardware requires a halftoning step. Conventional halftoning algorithms approximate image values independently from the image content and often introduce artificial texture that obscures fine details. The objective of this research is to adapt a halftoning technique to 3D scene information and thus to enhance the display of computer generated 3D scenes. Ou...

We postulated that the analysis of regional image texture in two-dimensional (2D) echocardiograms would be an accurate method to differentiate normal from abnormal myocardial structure. We tested this hypothesis with quantitative texture measures to study the regional, spatial distribution of echo amplitudes in 2D echocardiograms performed before and immediately after blunt left chest trauma wa...

This paper proposes an efficient parallel approach to texture classification for image retrieval. The idea behind this method is to pre-extract texture features in terms of texture energy measurement associated with a 'tuned' mask and store them in a multiscale and multi-orientation texture class database via a two-dimensional linked list for query. Thus, each texture class sample in the databa...

image compression, texture mapping, 3D graphics, JPEG, JPEG-LS, polynomial texture maps Polynomial Texture Maps (PTM's) are representations of stationary 3D objects which provide enhanced image quality and improved perception of the object surface details at the cost of increased storage requirements. In this paper, we investigate several compression schemes for PTM's, that either preserve ever...

In this study we proposes an effective content based image retrieval by color and texture based on wavelet coefficient method to achieve good retrieval in efficiency. Color feature extraction is done by color Histogram. The texture feature extraction is acquired by Gray Level Coocurence Matrix (GLCM) or Color Coocurence Matrix (CCM). This study provides better result for image retrieval by inte...

Contourlet domain Hidden Markov Models can provide a powerful approach for statis tical modeling and processing of contourlet coefficients of natural textural images. This multiscale model captures the statistical structure of smooth, texture and edge regions of an image. Contourlets have emerged as a new mathematical tool for image processing. They provide a compact and decorrelated image repr...

Segmentation of image regions based on their texture is a standard problem in image analysis. Once a set of texture features is selected, several algorithms can be applied to segment the image into regions. This paper presents an extension of the watershed algorithm using a vector gradient and multivariate region merging methods. The algorithm uses a set of texture images, and it only depends o...

As a regional feature, texture is a description of the spatial distribution of the image pixels. As texture can fully utilize the image information, it can become an important basis to describe and recognize the image. Compared with other image features, texture can take both the macro image properties and micro structure into consideration; therefore, feature has become a significant feature t...