Texture models are widely in use for image content description. In remote-sensing images textures occur at very different scales, requiring the application of multiple texture models. We present an algorithm based on a multi-scale random field model to detect the characteristic scales at which textures are present, so that texture models can be applied to a few selected scales only. The algorit...

The statistics of gray level differences have been successfully used in a number of texture analysis studies. In this paper we propose to use signed gray level differences and their multidimensional distributions for texture description. The present approach has important advantages compared to earlier related approaches based on gray level cooccurrence matrices or histograms of absolute gray l...

In this paper we describe the capabilities for texture measurements of the new neutron time-offlight diffractometer HIPPO at the Los Alamos Neutron Science Center (LANSCE). The orientation distribution function (ODF) is extracted from multiple neutron time-of-flight histograms using the full-pattern analysis first described by Rietveld. Both, the well-established description of the ODF using sp...

The article deals with the problem of texture description. It presents a statistical approach. Specifically it introduces the use of firstand second-order statistics on texture color spaces. At the end we also give estimations of computational time complexities of calculations of parameters presented in this article and describe our experience on one application domain. This study is a prelimin...

In this paper we investigate the use of the Poisson model in the creation and the description of binary textures, in conjunction with two forms of image scanning, namely raster and Hilbert scan. We apply our model to some binary random textures for which we estimate the Poisson parameters using Maximum Likelihood Estimation and nd that the values we obtain are suuciently distinct and suuciently...

The processing, description and recognition of dynamic (time-varying) textures are new exciting areas of texture analysis. Many real-world textures are dynamic textures whose retrieval from a video database should be based on both dynamic and static features. In this article, a method for extracting features revealing fundamental properties of dynamic textures is presented. These features are b...

This paper presents an improved version of the features based on Discrete Fourier Transform (DFT) for texture description that demonstrate robustness against rotation. The features have been tested on cropped parts of textures from Brodatz collection and their rotated versions. The results show improved performance for both, recognition as well as retrieval as compared to texture features based...