SAR image segmentation based on gabor filter bank and active contours

Authors:
Weiping Ni;Xinbo Gao;Weidong Yan
Affiliations:
School of Electronic Engineering, Xidian University, Xi'an, China;School of Electronic Engineering, Xidian University, Xi'an, China;Northwest Institute of Nuclear Technology, Xi'an, China
Venue:
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Year:
2012

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Abstract

Image segmentation is a fundamental step and foundation for automatic SAR image interpretation. By combining the Gabor filter bank (GFB) and active contours, this paper proposes a new SAR image segmentation method. Firstly, GFB is used to efficiently suppress speckles in SAR image and modify the gray histogram into Gaussian mixture model (GMM). Then GMM-based pixel classification is employed to pre-segment the filtered image. Finally, the active contours, initialized with the pre-segmented regions, are applied to unfiltered image for the final segmentation with several iterations. Experiments are conducted to vivificate the efficiency and effectiveness of the proposed method.