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Proceedings Paper

Adaptive edge detect maximum-likelihood region merging segmentation algorithm
Author(s): Zhenhua Liu; Shiyi Mao
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Paper Abstract

The multiplicative nature of the speckle noise in SAR images has been a big problem in SAR image segmentation. The maximum likelihood region merging segmentation algorithm is researched and employed in this paper. And an adaptive edge detect procedure is introduced into the algorithm here to obtain edge image before the region merging processing, so that the edge iamge can be the guidance of the primary segmentation. Before theoretic analysis and segmentation experiment show the better segmentation performance of the improved algorithm with the adaptive edge detect involved in.

Paper Details

Date Published: 11 June 2003
PDF: 5 pages
Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); doi: 10.1117/12.486408
Show Author Affiliations
Zhenhua Liu, Beijing Univ. of Aeronautics and Astronautics (China)
Shiyi Mao, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 4898:
Image Processing and Pattern Recognition in Remote Sensing
Stephen G. Ungar; Shiyi Mao; Yoshifumi Yasuoka, Editor(s)

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