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在分析了可变形模型(Deformable models or snakes)的物理背景的基础上,将量子力学中关于粒子运动的观念及规律引入到目标轮廓的提取中,通过估计粒子从一点到达另一点的概率(相对概率),得到了一种新的目标轮廓提取方法-量子轮廓模型,并对提取的轮廓进行了光滑处理.实验表明,我们的方法有较好的效果、较快的速度.

参考文献

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[2] Cohen L D, Cohen I. Finite-element methods for active contour models and balloons for 2-D and 3-D images [J].IEEE Trans. on Pattern Anal. Machine Intell., 1993, 15: 1131-1147.
[3] Xu C, Prince J L. Snakes, shapes, and gradient vector flow [J]. IEEE T. Imag. Proc., 1998, 7(3): 359-369.
[4] Feynman R P, Hibbs A R. Quantum Mechanics and Path Integrals [M]. New York: McGraw-Hill,Inc., 1965.
[5] Thornber K K, Williams L R. Analytic solution of stochastic completion fields [J]. IEEE International Symposium on Computer Vision, Coral Gables, 1995, FL, USA, 617-622.
[6] Wang Ruixi. Quantum Mechanics (量子力学) [M]. Beijing: Higher Education Publisher, 1992. (in Chinese).
[7] Xu Chenyang, Prince J L. Global optimality of gradient vector flow [C] // 2000 Conference on Information Sciences and Systems, Princeton University, 2000. 15-17.
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