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dc.contributor.authorMagrin-Chagnolleau, Ivan
Choi, Hyeokho
van Spaendonck, Rutger
Steeghs, Philippe
Baraniuk, Richard G.
dc.creatorMagrin-Chagnolleau, Ivan
Choi, Hyeokho
van Spaendonck, Rutger
Steeghs, Philippe
Baraniuk, Richard G.
dc.date.accessioned 2007-10-31T00:52:35Z
dc.date.available 2007-10-31T00:52:35Z
dc.date.issued 1999-11-01
dc.date.submitted 1999-11-01
dc.identifier.urihttps://hdl.handle.net/1911/20079
dc.description Conference Paper
dc.description.abstract Wavelet-domain Hidden Markov Models (HMMs) are powerful tools for modeling the statistical properties of wavelet coefficients. By characterizing the joint statistics of wavelet coefficients, HMMs efficiently capture the characteristics of many real-world signals. When applied to images, the model can characterize the joint statistics between pixels, providing a very good classifier for textures. Utilizing the inherent tree structure of wavelet-domain HMM, classification of textures at various scales is possible, furnishing a natural tool for multiscale texture segmentation. In this paper, we introduce a new multiscale texture segmentation algorithm based on wavelet-domain HMM. Based on the multiscale classification results obtained from the wavelet-domain HMM, we develop a method to combine the multiscale classification results to generate a reliable segmentation of the texture images. We apply this new technique to the segmentation of dip-cube slices.
dc.language.iso eng
dc.subjectsegmentation
hidden markov trees
dc.subject.otherSignal Processing Applications
dc.title Multiscale Texture Segmentation of Dip-cube Slices using Wavelet-domain Hidden Markov Trees
dc.type Conference paper
dc.date.note 2004-11-10
dc.citation.bibtexName inproceedings
dc.date.modified 2006-06-05
dc.contributor.orgDigital Signal Processing (http://dsp.rice.edu/)
dc.subject.keywordsegmentation
hidden markov trees
dc.citation.location Houston, TX
dc.citation.conferenceName Proceedings of the SEG Meeting
dc.type.dcmi Text
dc.type.dcmi Text
dc.identifier.citation I. Magrin-Chagnolleau, H. Choi, R. van Spaendonck, P. Steeghs and R. G. Baraniuk, "Multiscale Texture Segmentation of Dip-cube Slices using Wavelet-domain Hidden Markov Trees," 1999.


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  • DSP Publications [508]
    Publications by Rice Faculty and graduate students in digital signal processing.
  • ECE Publications [1305]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students

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