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.
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Ni, W., Gao, X., Yan, W. (2013). SAR Image Segmentation Based on Gabor Filter Bank and Active Contours. In: Yang, J., Fang, F., Sun, C. (eds) Intelligent Science and Intelligent Data Engineering. IScIDE 2012. Lecture Notes in Computer Science, vol 7751. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36669-7_65
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DOI: https://doi.org/10.1007/978-3-642-36669-7_65
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