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ICASSP
2011
IEEE
12 years 8 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber
DAS
2004
Springer
13 years 10 months ago
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
This paper presents the result of an adaptive region growing segmentation technique for color document images using an irregular pyramid structure. The emphasis is in the segmentat...
Poh Kok Loo, Chew Lim Tan
ICIP
2009
IEEE
13 years 2 months ago
A hierarchical graph-based markovian clustering approach for the unsupervised segmentation of textured color images
In this paper, a new unsupervised hierarchical approach to textured color images segmentation is proposed. To this end, we have designed a two-step procedure based on a grey-scale...
Rachid Hedjam, Max Mignotte
TIP
2008
261views more  TIP 2008»
13 years 4 months ago
CTex - An Adaptive Unsupervised Segmentation Algorithm Based on Color-Texture Coherence
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 ...
Dana Elena Ilea, Paul F. Whelan
ICTAI
2002
IEEE
13 years 9 months ago
A Clustering Based Approach to Efficient Image Retrieval
This paper addresses the issue of effective and efficient content based image retrieval by presenting a novel indexing and retrieval methodology that integrates color, texture, an...
Ruofei Zhang, Zhongfei Zhang