A Water/Land Segmentation Algorithm Based on an Improved Chan‐Vese Model with Edge Constraints of Complex Wavelet Domain

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 acquiresedge 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.