Adaptive Edge Detect Maximum Likelihood Region Merging Segmentation Algorithm

摘要

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 image 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.