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《Journal of Biomedical Engineering》 2008-06
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Segmentation of Medical Images Based on Dyadic Wavelet Transform and Active Contour Model

Li Hong1 Wang Huinan1 Chang Linfeng2 Shao Xiaoli11(College of Automation Engineering,Nanjing University of Aeronautics & Astronautics,Nanjing 210016,China)2(Nanjing General Hospital of Nanjing Military Command,Nanjing 210016,China)  
The interference of noise and the weak edge characteristic of symptom information on medical images prevent the traditional methods of segmentation from having good effects.In this paper is proposed a boundary detection method of focus which is based on dyadic wavelet transform and active contour model.In this method,the true edge points are detected by dyadic wavelet transform and linked by improved fast active contour model algorithm.The result of experiment on MRI of brain shows that the method can remove the influence of noise effective and detect the contour of brain tumor actually.
【CateGory Index】: TP391.41
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