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SAR Water Image Segmentation Based on GLCM and Wavelet Textures

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5 Author(s)
Wang Min ; Inst. of Meteorol., PLA Univ. of Sci. & Technol., Nanjing, China ; Zhou Shu-dao ; Bai Heng ; Ma Ning
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Combination of gray water and land SAR image and wavelet texture information, present a new segmentation method of SAR image surface. Firstly, extracting gray level co-occurrence matrix of the sub-blocks SAR image, then using wavelet transform to extract the norm and the average deviation as the wavelet texture feature information of sub-blocks of sub-image; Accordingly, two types of texture establish a suitable combination of image separation measure multi-dimensional feature space; Finally, using K-means clustering algorithm to segment the SAR water image. The experimental results show that the effect is better than the common segmentation method.

Published in:

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Date of Conference:

23-25 Sept. 2010