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 …

We present a method for segmenting images consisting of texture and nontexture regions
based on local spectral histograms. Defined as a vector consisting of marginal distributions …

In region-based image segmentation, an image is partitioned into connected regions by
grouping neighboring pixels of similar features. To achieve fine-grain segmentation at the …

Image processing is a very rich and important research area, which provides efficient
solutions to many real and industrial problems. Texture analysis is one of the most …

The Prague texture segmentation data-generator and benchmark is a web based
(http://mosaic. utia. cas. cz) service designed to mutually compare and rank different texture …

A new method for color textured segmentation using feature distributions is proposed in this
study. First, the distributions of color and local edge patterns are used to derive a …

The Prague texture segmentation data-generator and benchmark (mosaic. utia. cas. cz) is a
web-based service designed to mutually compare and rank (recently nearly 200) different …

Localizing boundaries between textured image regions without sacrificing the labeling
accuracy of interior regions remains a problem in segmentation. Difficulties arise because of …

We present a new method for remote sensing image segmentation, which utilizes both
spectral and texture information. Linear filters are used to provide enhanced spatial patterns …

This paper describes the development of a new texture based segmentation algorithm which
uses a set of features extracted from Grey-Level Co-occurrence Matrices. The proposed …