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.
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Min, H., Wang, XF., Lei, YK. (2010). A Novel Level Set Model Based on Local Information. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_63
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DOI: https://doi.org/10.1007/978-3-642-14922-1_63
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