A novel level set model based on local information

Authors:
Hai Min;Xiao-Feng Wang;Ying-Ke Lei
Affiliations:
Hefei Institute of Intelligent Machines, CAS, Hefei, China and Department of Automation, University of Science and Technology of China, Hefei, China;Hefei Institute of Intelligent Machines, CAS, Hefei, China and Key Lab of Network and Intelligent Information Processing, Department of Computer Science and Technology, Hefei University, Hefei, Ch ...;Hefei Institute of Intelligent Machines, CAS, Hefei, China and Department of Automation, University of Science and Technology of China, Hefei, China
Venue:
ICIC'10 Proceedings of the 6th international conference on Advanced intelligent computing theories and applications: intelligent computing
Year:
2010

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Abstract

Local image information is crucial for accurate segmentation of image with intensity inhomogeneity. However, the local information is not embedded in Chan-Vese model. In this paper, we propose a novel level set model which takes the local boundary information into account. The proposed model can overcome the difficulty that CV model suffered, i.e., the unsuccessful segmentation of object with intensity inhomogeneity. Finally, we validate the efficiency of our model on some synthetic and real images.