An active contour model for selective segmentation

被引:0
|
作者
Wang, WY [1 ]
机构
[1] Inst Appl Phys & Computat Math, Beijing 100088, Peoples R China
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, we develop a new active contour model for image selective segmentation. The model adopts cascade anisotropic diffusion preprocessing and a selective term in level set function. Cascade anisotropic diffusion filtering is powerful and flexible to enhance image for various segmentation tasks. The selective term in level set function can evolve a single curve to capture a selective segmentation region which we are interested in. This is useful for intentional segmentation tasks. We can also realize the multi-region segmentation by varying selecting term conditions. Furthermore, we saliently speed the process of the new algorithm by using AOS scheme in cascade anisotropic diffusion filtering and discarding mean curvature motion in level set function. We illustrate the performance of our segmentation method on images generated by different modalities.
引用
收藏
页码:111 / 116
页数:6
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