3-D Reconstruction from Medical Images with Improved GVF Snake Model

被引：0
|
作者：
Cheng, Jinyong [1 ]
Liu, Yihui [1 ]
Bai, Li [2 ]
机构：
[1] Shandong Inst Light Ind, Sch Informat Sci & Technol, Jinan 250353, Shandong, Peoples R China
[2] Univ Nottingham, Sch Comp Sci, Nottingham, England
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND SECURITY, VOLS 1 AND 2, PROCEEDINGS | 2008年
关键词：
D O I：
10.1109/CIS.2008.191
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
3-D reconstruction from medical images is an important application of computer graphics and biomedicine image processing. Image segmentation is a crucial step in 3-D reconstruction. In this paper, an improved image segmentation method which is suitable for 3-D reconstruction is put forward A 3-D reconstruction algorithm is used to reconstruct the 3-D model from images. First, rough edge is extracted using multi-scale wavelet transform. With the rough edge, GVF Snake model is used and the object contour in the image is found In the experiment, we reconstruct a 3-D model of the kidney. The performance of the experiment indicates that the new algorithm can produce accurate 3-D reconstruction.
引用
收藏
页码：220 / +
页数：2
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