Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models

Hyeokho Choi; Brent Hendricks; Richard Baraniuk

doi:10.1109/ACSSC.1999.831914

Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models

Hyeokho Choi, Brent Hendricks, Richard Baraniuk

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

Wavelet-domain hidden Markov tree (HMT) models are powerful tools for modeling the statistical properties of wavelet transforms. By characterizing the joint statistics of the wavelet coefficients, HMTs efficiently capture the characteristics of a large class of real-world signals and images. In this paper, we apply this multiscale statistical description to the texture segmentation problem. We also show how the Kullback-Leibler (KL) distance between texture models can provide a simple performance indicator.

Original language	English (US)
Title of host publication	Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers
Editors	Michael B. Matthews
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1287-1291
Number of pages	5
Volume	2
ISBN (Electronic)	0780357000, 9780780357006
DOIs	https://doi.org/10.1109/ACSSC.1999.831914
State	Published - Jan 1 1999
Event	33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999 - Pacific Grove, United States Duration: Oct 24 1999 → Oct 27 1999

Other

Other	33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999
Country/Territory	United States
City	Pacific Grove
Period	10/24/99 → 10/27/99

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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10.1109/ACSSC.1999.831914

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Choi, H., Hendricks, B., & Baraniuk, R. (1999). Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models. In M. B. Matthews (Ed.), Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers (Vol. 2, pp. 1287-1291). [831914] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ACSSC.1999.831914

Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models. / Choi, Hyeokho; Hendricks, Brent; Baraniuk, Richard.

Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers. ed. / Michael B. Matthews. Vol. 2 Institute of Electrical and Electronics Engineers Inc., 1999. p. 1287-1291 831914.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Choi, H, Hendricks, B & Baraniuk, R 1999, Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models. in MB Matthews (ed.), Conference Record of the 33rd Asilomar Conference on Signals, Systems, and Computers. vol. 2, 831914, Institute of Electrical and Electronics Engineers Inc., pp. 1287-1291, 33rd Asilomar Conference on Signals, Systems, and Computers, ACSSC 1999, Pacific Grove, United States, 10/24/99. https://doi.org/10.1109/ACSSC.1999.831914

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Analysis of multiscale texture segmentation using wavelet-domain hidden Markov models

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