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SAR image target segmentation based on entropy maximization and morphology

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3 Author(s)
Zhengyao, Bai ; Department of Electronic Engineering, Yunnan University, Kunming 650091, P. R. China; Department of Electronic Engineering, Beijing Institute of Technology, Beijing 100081, P. R China ; Zhoufeng, Liu ; Peikun, He

Entropy maximization thresholding is a simple, effective image segmentation method. The relation between the histogram entropy and the gray level of an image is analyzed. An approach, which speeds the computation of optimal threshold based on entropy maximization, is proposed. The suggested method has been applied to the synthetic aperture radar (SAR) image targets segmentation. Mathematical morphology works well in reducing the residual noise.

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Systems Engineering and Electronics, Journal of  (Volume:15 ,  Issue: 4 )