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Novel level set approach for medical image segmentation based on region competition model. (Chinese. English summary) Zbl 1173.68662
Summary: Traditional level set method based on gradient model has the leaking problem during the curve evolution. A level set method based on region competition model is proposed to solve this problem. Firstly, the probabilities of the level set curve that belonged to the object region and background region are calculated respectively using probability distribution equation; Secondly, the difference of the foreground and background probabilities and weights are added to the level set function to minimize the energy function during the curve evolution. Finally, the images regional information could be used to identify the object boundary. Experimental results show that the proposed method can segment the medical image well.
MSC:
68T10 Pattern recognition, speech recognition
68U10 Computing methodologies for image processing
92C50 Medical applications (general)
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