The SLICE textured-image segmentation system identifies image regions that differ in gray-
level distribution, color, spatial texture, or other local property. It has been developed for the …

The SLICE segmentation system identifies image regions that differ in gray-level distribution,
color, spatial texture, or some other local property. This report concentrates on textured …

A novel method of performing multiscale, hierarchical segmentation of images using texture
properties is introduced. The images are first requantized using contiguity-enhanced K …

This paper introduces a factorization-based approach that efficiently segments textured
images. We use local spectral histograms as features, and construct an M× N feature matrix …

Texture segmentations are crucial components of many remote sensing, scene analysis,
and object recognition systems. However, very little attention has been paid to the problem …

The problem of image texture analysis is introduced, and existing approaches are surveyed.
An empirical evaluation method is applied to two texture measurement systems, co …

Texture is considered by many researchers as a significant feature for image analysis. This
dissertation addresses three common facets of texture analysis, namely representation of …

A new algorithm for segmentation of images containing textured regions is presented. The
algorithm is named MITES, which is an acronym for M odel-driven, I terative, T exture S …

We present a texture segmentation technique which can be adapted for a broad category of
applications. A Texture Co-occurrence Spectrum is generated for each texture sample by …

An approach is described for unsupervised segmentation of textured images. Local texture
properties are extracted using local linear transforms that have been optimized for maximal …