Improved C-V active contour model

被引:0
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作者
Zhang, Kai-Hua [1 ]
Zhou, Wen-Gang [1 ]
Zhang, Zhen [1 ]
Zheng, Xiao-Juan [1 ]
机构
[1] Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei 230027, China
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摘要
An improved C-V active contour model was presented, with which the image data force in the C-V model is significantly simplified according to the curve evolution theory. The level set function can be initialized to be zero according to the theory analysis. Distinguished from original C-V model, the level set function of the proposed model is Ordinary Differential Equation (ODE). The proposed model not only has the original C-V model's characteristics, such as the ability of detecting inner edge of the object with inner hole, etc, but also has many advantages as follows: anti-noise performance is good; re-initialization is unnecessary, and the efficiency of global segmentation is dramatically improved; the edges far away from the active contours would be seriously suppressed by setting the Dirac function to be one; the implementation does not require any limitation of time step. The method is validated with both synthetic and real images. Experimental results demonstrate the robustness and efficiency of the model.
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页码:112 / 116
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