MAO Chenglin, WAN Shouhong, YUE Lihua, XIA Yu. A Water/Land Segmentation Algorithm Based on an Improved Chan-Vese Model with Edge Constraints of Complex Wavelet Domain[J]. Chinese Journal of Electronics, 2015, 24(2): 361-365. doi: 10.1049/cje.2015.04.023
Citation: MAO Chenglin, WAN Shouhong, YUE Lihua, XIA Yu. A Water/Land Segmentation Algorithm Based on an Improved Chan-Vese Model with Edge Constraints of Complex Wavelet Domain[J]. Chinese Journal of Electronics, 2015, 24(2): 361-365. doi: 10.1049/cje.2015.04.023

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

doi: 10.1049/cje.2015.04.023
Funds:  This work is supported by the National Natural Science Foundation of China (No.61272317) and the General Program of Natural Science Foundation of Anhui of China (No.1208085MF90).
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  • Corresponding author: WAN Shouhong is a lecturer and a Ph.D. candidate in the School of Computer Science and Technology at USTC. She received her B.S. and M.S. degree in Electronic Engineering from Anhui University. Her research interests include image processing, pattern recognition and image retrieval. (Email:wansh@uste.edu.cn)
  • Publish Date: 2015-04-10
  • 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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