A Fast Algorithm for Image Segmentation Based on Local Chan Vese Model
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-95933-7_7
Reference8 articles.
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3. Wang, X.F., Min, H., Zou, L., Zhang, Y.G.: A novel level set method for image segmentation by incorporating local statistical analysis and global similarity measurement. Pattern Recognit. 48(1), 189–204 (2015)
4. Wang, X.F., Huang, D.S., Xu, H.: An efficient local Chan-Vese model for image segmentation. Pattern Recognit. 43(3), 603–618 (2010)
5. Li, C.M., Kao, C.Y., Gore, J.C., Ding, Z.H.: Minimization of region-scalable fitting energy for image segmentation. IEEE Trans. Image Process. 17, 1940–1949 (2008)
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