Abstract:
The complex computing restricts the application of image segmentation method based on Chan-Vese(C-V) level set model. In order to improve the speed of image segmentation, this paper presents a new level set initialization method on C-V model. After a simple iterative, the outline of objects can be separated out. Experiments show that the method is simple and efficient, with good separation effects.
Key words:
image segmentation,
Chan-Vese(C-V) level set model,
signed distance function
摘要: 复杂的计算限制了基于Chan-Vese(C-V)水平集模型的图像分割方法的应用。为提高图像分割的速度,提出一种基于C-V水平集模型的改进水平集方法。在一般情况下,只需要几次简单迭代就能分割出物体的轮廓。实验表明,该方法简单高效,能够快速有效地实现图像轮廓分割。
关键词:
图像分割,
Chan-Vese水平集模型,
符号距离函数
CLC Number:
XU Ling-ling; XIAO Jin-sheng; YI Ben-shun; LOU Li-jun. Improved C-V Level Set Model Image Segmentation Algorithm[J]. Computer Engineering, 2009, 35(10): 209-210.
徐玲凌;肖进胜;易本顺;娄利军. 改进的C-V水平集模型图像分割算法[J]. 计算机工程, 2009, 35(10): 209-210.