140 search results - page 2 / 28 » Unsupervised Segmentation of Texture Images Using a Combinat... |
CAIP
2001
Springer
13 years 9 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
ICMCS
2005
IEEE
13 years 10 months ago
2005
IEEE
Typically, high-resolution remote sensing (HRRS) images contain a high level noise as well as possess different texture scales. As a result, existing image segmentation approaches...
TCSV
2002
13 years 4 months ago
2002
In this paper, an efficient and computationally fast method for segmenting text and graphics part of document images based on textural cues is presented. We assume that the graphic...
TIP
2008
13 years 5 months ago
2008
Abstract--This paper presents the development of an unsupervised image segmentation framework (referred to as CTex) that is based on the adaptive inclusion of color and texture in ...
ICIP
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we incorporate recent results from AM-FM models for texture analysis into the variational model of image segmentation and examine the potential benefits of using the...