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Volume 27 Issue 2
Feb.  2005
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Guo Song-tao, Sun Qiang, Jiao Li-cheng. Remote-Sensing Image Segmentation Based on Improved Wavelet-Domain Hidden Markov Models[J]. Journal of Electronics & Information Technology, 2005, 27(2): 286-289.
Citation: Guo Song-tao, Sun Qiang, Jiao Li-cheng. Remote-Sensing Image Segmentation Based on Improved Wavelet-Domain Hidden Markov Models[J]. Journal of Electronics & Information Technology, 2005, 27(2): 286-289.

Remote-Sensing Image Segmentation Based on Improved Wavelet-Domain Hidden Markov Models

  • Received Date: 2003-10-09
  • Rev Recd Date: 2004-05-18
  • Publish Date: 2005-02-19
  • Improved wavelet-domain HMT based remote-sensing image segmentation algorithm is proposed in this paper, The algorithm is based on 2-D directional wavelet, which is implemented via Hilbert transform pairs. The 2-D directional wavelet can provide both shift invariance and good directional selectivity. In this paper, the dependence of wavelet coefficients lied in inter scale is modeled efficiently, and a new segmentaion algorithm is produced by combining this with multicontext fusion method. A better segmentation result for remote-sensing image with smaller computational burden is obtained,
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  • Choi H, Bararniuk R G. Multiscale image segmentation using wavelet-domain hidden Markov models[J].IEEE Trans. on Image Processing.2001, 10(9):1309-[2]Selesnick I W. The design of Hilbert transform pairs of wavelet bases via the flat delay filter. In Proc. IEEE Int. Conf. on Acoustic,peech and Signal Processing, ICASSP01, Salt Lake City, UT,May 2001:3673 - 3676.[3]Kingsbury N G. Image processing with complex wavelets. Phil.Trans. Royal Society London 4, 1999, 357(9): 2543 - 2560.[4]Crouse M S, Nowark R D, Baraniuk R G. Wavelet-based statistical signal processing using hidden Markov models[J].IEEE Trans. on Signal. Proc.1998, 46 (4):886-[5]Kingsbury N G. A dual-tree complex wavelet transform with improved orthogonality and symmetry properties. In Proc. IEEE Int. Conf. Image Processing, Vancouver, Canada, September 11-13, 2000:375 - 378.[6]Choi H, Romberg J, Baraniuk R, Kingsbury N G. Hidden Markov tree modeling of complex wavelet transform. Proc. ICASSP 2000,Istantbul, June 6-9, 2000:133 - 136[7]Fan G, Xia X G. A joint multi-context and multiseale approach to Bayesian image segmentation[J].IEEE Trans. on Geoscience and Remote Sensing.2001, 39(12):2680-[8]Bouman C A, Shapiro M. A multiseale random field model for Bayesian image segmentation[J].IEEE Trans. on Image Processing.1994, 3(2):162-
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