Computer Science ›› 2015, Vol. 42 ›› Issue (6): 308-312.doi: 10.11896/j.issn.1002-137X.2015.06.065

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Double Level Set Image Segmentation Based on Image Layer

CHEN Jing, ZHU Jia-ming and WU Jie   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Traditional C-V model can divide the image into object and background,but can not be achieved on the multi-objective image segmentation.Multiphase C-V model for image segmentation requires more iterations and more computing time.In order to slove these problems,this paper proposed a double level set image segmentation algorithm based on image layer.The algorithm introduces the background filling technology to change the image background,forming a new image layer,and the double level set continues division in the new image layer,until all objects are segmented.Through the new image layer,the double level set can achieve the multi-objective image segmentation.The experimental results show that the algorithm can realize multi-objective segmentation with less iteration,also has strong anti-interfe-rence ability and faster convergence speed.

Key words: Image segmentation,Image layer,Level set

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