SAR Image Segmentation Based on Maximum Variance Method and Morphology
2013 ◽
Vol 798-799
◽
pp. 761-764
Keyword(s):
A new technique that combines maximum variance method and morphology was presented for Synthetic Aperture Radar (SAR) image segmentation in target detection. Firstly, using the first-order differential method to enhance the original image for highlighting edge details of the image; then using the maximum variance method to calculate the gray threshold and segment the image; lastly, the mathematical morphology was used to processing the segmented image, which could prominently improve the segmentation effects. Experiments show that this algorithm can obtain accurate segmentation results, and have a good effect on noise suppression, edge detail protection and operation time.
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2000 ◽
Vol 147
(3)
◽
pp. 134
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2014 ◽
Vol 11
(10)
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pp. 1742-1746
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2008 ◽
Vol 46
(7)
◽
pp. 2126-2136
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Keyword(s):
Keyword(s):