7-3-2006-1141722096613_fulldoc_ascii_.txt

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Accession number:04238195735
Title:A multiscale edge detection algorithm based on wavelet domain vector hidden Markov tree model
Authors:Sun, Junxi; Gu, Dongbing; Chen, Yazhu; Zhang, Su 
Author affiliation:Department of Computer Science, University of Essex, Wivenhoe Park, Colchester CO4 3SQ, United Kingdom 
Serial title:Pattern Recognition
Abbreviated serial title:Pattern Recogn.
Volume:v 37
Issue:n 7
Issue date:July 2004
Publication year:2004
Pages:p 1315-1324
Language:English
ISSN:0031-3203
CODEN:PTNRA8
Document type:Journal article (JA)
Publisher:Elsevier Ltd
Abstract:The wavelet analysis is an efficient tool for the detection of image edges. Based on the wavelet analysis, we present an unsupervised learning algorithm to detect image edges in this paper. A wavelet domain vector hidden Markov tree (WD-VHMT) is employed in our algorithm to model the statistical properties of multiscale and multidirectional (subband) wavelet coefficients of an image. With this model, each wavelet coefficient is viewed as an observation of its hidden state and the hidden state indicates if the wavelet coefficient belongs to an edge. The WD-VHMT model can be learned by an expectation-maximization algorithm. After the model is learned, we employ an extended Viterbi algorithm to uncover the hidden state sequences according to the maximum a posterior estimation. The experiment results of the edge detection for several images are provided to evaluate our algorithm. © 2004 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.
Number of references:25
Ei main heading:Edge detection
Ei controlled terms:Algorithms  -  Wavelet transforms  -  Statistical methods  -  Mathematical models
Uncontrolled terms:Wavelet domain vector hidden markov tree (WD-VHMT)  -  Image edges  -  Multidirectional wavelet coefficients
Ei classification codes:716 Electronic Equipment, Radar, Radio and Television  -  723 Computer Software, Data Handling and Applications  -  921.3 Mathematical Transformations  -  922.2 Mathematical Statistics
Treatment:Theoretical (THR)
DOI:10.1016/j.patcog.2003.11.006
Database:Compendex
Compilation and indexing terms, Copyright 2006 Elsevier Inc. All rights reserved