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《Journal of Chengdu University of Information Technology》 2008-02
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Image segmentation based on improved parametric active contour model

ZHANG Cheng-rui,YU Yan-mei*,LUO Dai-sheng,YE Bo,XIE Qin-bin (College of Electronics & Information Engineering,SCU,Chengdu 610064,China)  
The parametric active contour model is widely used in the medical image segmentation.The original model is very susceptible and depends on the initial contour which must be set near the edge of the image,or the SNAKE points are easily trapped by the local minimum values.A kind of the potential energy based on the distance transformation as the automatic external force is presented,which can lead the active contour to find the real edge without any special initialization of the contour.The experiment results show that the method is characterized by its rapidity and capacity which can capture the image features in a wider region and is an effective algorithm to segment the medical image.
【CateGory Index】: TP391.41
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