A Segmentation Algorithm for SAR Images Via Region Merging Guided by Morphological Edge Information[J]. 2019, 53(10): 24-30+47.
DOI:
A Segmentation Algorithm for SAR Images Via Region Merging Guided by Morphological Edge Information[J]. 2019, 53(10): 24-30+47.DOI: 10.7652/xjtuxb201910004.
A Segmentation Algorithm for SAR Images Via Region Merging Guided by Morphological Edge Information
A segmentation algorithm for SAR images using region merging guided by morphological edge information is proposed to solve the problem that in synthetic aperture radar(SAR)image segmentation based on region merging
the over-fragmentation of initial partition affects the efficiency and quality of subsequent region merging.An anisotropic morphological directional ratio operator is constructed by using the weighted median filtering that is weighted by Gaussian Gamma function to extract the edge strength map(ESM)of an image as the strength of edge responses.Then a thresholding processing and watershed transform are performed on the ESM to obtain a high-quality initial partition.Then
the pair of adjacent regions with the smallest merging cost are iteratively merged using the technique of relative common boundary length penalty
and the final segmentation is outputted until the termination condition of region merging is satisfied.Experimental results and comparisons with methods of the sam
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