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Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees

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Title: Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees
Author: Choi, Hyeokho; Hendricks, Brent; Baraniuk, Richard G.
Type: Conference Paper
Keywords: texture segmentation; wavelet; hidden marlov trees
Citation: H. Choi, B. Hendricks and R. G. Baraniuk,"Analysis of Multiscale Texture Segmentation using Wavelet-Domain Hidden Markov Trees," in Asilomar Conference on Signals, Systems, and Computers,, pp. 1287-1291.
Abstract: This paper describes a technique for estimating the Kullback-Leibler (KL) distance between two Hidden Markov Models (HMMs), and for measuring the quality of the estimator. It also provides some results based on applying the technique to wavelet domain Hidden Markov Tree (HMT) models used in image segmentation. The technique is easily applied, because in most situations the necessary tools (data generation and likelihood calculation) are already in place.
Date Published: 1999-10-01

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  • ECE Publications [1043 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.