Receptive field profiles of simple cells in the visual cortex have been shown to resemble even-symmetric or odd-symmetric Gabor filters. Computational models employed in the analysis of textures have been motivated by two-dimensional Gabor functions arranged in a multi-channel architecture. More recently Wavelets have emerged as a powerful tool for non-stationary signal analysis capable of enco...

The Wavelet Polarization Signature (WASP) is a recently introduced formalism for analyzing the dependences of texture measures, in SAR imagery, afforded by wavelet frames on scale and polarization state. Based on a previously published theoretical approach, two experiments are reported where wavelet WASP analysis is applied to SAR observations of natural targets, both in the land and marine dom...

The present paper derived a new texture classification tactic using textons and rough sets. Texton is a statistical approach used to analyze the texture of an image. Textures will be developed only if the side elements lie within the contiguity. Texton Image has the discrimination power of color, texture and shape features. In the proposed tactic texton using rough texture spectrum and color fe...

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...

This article proposes a test of stationarity for random fields on a regular lattice motivated by a problem arising from texture analysis. Our approach is founded on the locally stationary two-dimensional wavelet (LS2W) process model for lattice processes which has previously been used for standard texture analysis tasks such as texture discrimination and classification. We propose two variants ...

One of the enduring problems in remote sensing analysis is how to exploit image texture [2]. A central question in texture analysis is the scale of the texture features analyzed, as determined by the size of the texture kernel (moving window). In a classic study, 90% of texture variability was found to be accounted for by the size of the kernel, compared to only 7% from the texture algorithm [3...

INTRODUCTION Routine MR images do not consistently reveal pathological changes in the brain in ALS. Texture analysis, a method to quantitate voxel intensities and their patterns and interrelationships, can detect changes in images not apparent to the naked eye. Our objective was to evaluate cerebral degeneration in ALS using 3-dimensional texture analysis of MR images of the brain. METHODS In...

One of the design goals of the neutron time-of-flight (TOF) diffractometer HIPPO (HIgh Pressure Preferred Orientation) at LANSCE (Los Alamos Neutron Science Center) was efficient quantitative texture analysis. In this paper, the effects of the HIPPO detector geometry and layout on texture analysis, particularly the shape and dimensions of the detector panels, are investigated in detail. An equa...

Abstract: The pattern identification problems such as stone, rock categorization and wood recognition are used texture classification technique due to its valuable usage in it. Generally, texture analysis can be done one of the two ways i.e. statistical and structural approaches. More problems are occurred when working with statistical approaches in texture analysis for texture categorization. ...

A fundamental goal of texture research is to develop automated computational methods for retrieving visual information and understanding image content based on textural properties in images. A synergy between biological and computer vision research in low-level vision can give substantial insights about the processes for extracting color, edge, motion, and spatial frequency information from ima...