A novel model for segmentation of water/land in Synthetic aperture radar（SAR） images is presented. The proposed model calculates the global matrix of oriented gradient of histograms on wavelet subbands based on the multi-scale property, shift invariance and directional selectivity of Complex wavelet transform（CWT）, then acquires edge information by thresholding the matrix. It improves the traditional Chan-vese（CV） model by adding the constraint of extracted edge information. A new water/land segmentation algorithm is then proposed based on the new model. The performance of proposed method is compared with some other existing algorithms and the experimental results confirm its effectiveness.
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