4 March 2015 A new improved local Chan-Vese model
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Proceedings Volume 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014); 944332 (2015) https://doi.org/10.1117/12.2179939
Event: Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 2014, Beijing, China
Abstract
Based on the local image information, we propose a new improved local active contour model to segment inhomogeneous images. The level set evolution equation of the proposed model which is different from improved Chan- Vese (ICV) model and local Chan-Vese (LCV) model is ordinary differential equation. Without mean curvature and other complicate difference items, the implementation becomes simpler by employing a finite difference scheme, thus the efficiency of global segmentation is dramatically improved. Experimental results on synthetic images as well as real medical images are shown in the paper to demonstrate the segmentation accuracy, efficiency and robustness of the proposed method.
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Ming Shen, Ming Shen, Yiping Wu, Yiping Wu, } "A new improved local Chan-Vese model", Proc. SPIE 9443, Sixth International Conference on Graphic and Image Processing (ICGIP 2014), 944332 (4 March 2015); doi: 10.1117/12.2179939; https://doi.org/10.1117/12.2179939
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