吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 115-119.
刘存良1,2, 潘振宽1, 郑永果2, 端金鸣1, 张峰1
LIU Cun-liang1,2, PAN Zhen-kuan1, ZHENG Yong-guo2, DUAN Jin-ming1, ZHANG Feng1
摘要:
Chan-Vese模型在图像分割领域正被广泛应用。然而,传统的水平集方法存在两个重要的数值问题:水平集函数不能隐式地保持为符号距离函数;由于采用梯度降方法求解使水平集演化速度缓慢。针对该问题提出两种快速分割方法加快演化速度:对偶方法和分裂 Bregman方法。为了让水平集保持符号距离函数特性,利用投影方法加以约束,并采用增广Lagrangian方法加快收敛速度。实验结果表明,提出的两种快速分割方法比传统的梯度降方法分割效果好、计算效率高。
中图分类号:
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