SAR Image Segmentation Based on Maximum Variance Method and Morphology

Abstract:

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.

• Periodical: Advanced Materials Research (Volumes 798-799)
• Pages: 761-764
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.798-799.761
• Online since: September 2013
• Authors: Ming Xia Xiao
• Keywords: Image Segmentation, Maximum Variance Method, Morphology Operate, SAR Image

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