Adaptive edge detect maximum-likelihood region merging segmentation algorithm

Zhenhua Liu; Shiyi Mao

doi:10.1117/12.486408

11 June 2003 Adaptive edge detect maximum-likelihood region merging segmentation algorithm

Zhenhua Liu, Shiyi Mao

Proceedings Volume 4898, Image Processing and Pattern Recognition in Remote Sensing; (2003) https://doi.org/10.1117/12.486408
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

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.

Citation Download Citation

Zhenhua Liu and Shiyi Mao "Adaptive edge detect maximum-likelihood region merging segmentation algorithm", Proc. SPIE 4898, Image Processing and Pattern Recognition in Remote Sensing, (11 June 2003); https://doi.org/10.1117/12.486408

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