FINITE-ELEMENT METHODS FOR ACTIVE CONTOUR MODELS AND BALLOONS FOR 2-D AND 3-D IMAGES

被引:870
作者
COHEN, LD [1 ]
COHEN, I [1 ]
机构
[1] INRIA,F-78153 LE CHESNAY,FRANCE
关键词
ACTIVE CONTOUR MODELS; ATTRACTION POTENTIAL; DEFORMABLE MODELS; FEATURE EXTRACTION; FINITE DIFFERENCE METHOD; FINITE ELEMENT METHOD; REGULARIZATION; SEGMENTATION; SURFACE RECONSTRUCTION;
D O I
10.1109/34.244675
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The use of energy-minimizing curves, known as ''snakes'' to extract features of interest in images has been introduced by Kass, Witkin and Terzopoulos [23]. A balloon model was introduced in [12] as a way to generalize and solve some of the problems encountered with the original method. A 3-D generalization of the balloon model as a 3-D deformable surface, which evolves in 3-D images, is presented. It is deformed under the action of internal and external forces attracting the surface toward detected edgels by means of an attraction potential. We also show properties of energy-minimizing surfaces concerning their relationship with 3-D edge points. To solve the minimization problem for a surface, two simplified approaches are shown first, defining a 3-D surface as a series of 2-D planar curves. Then, after comparing finite-element method and finite-difference method in the 2-D problem, we solve the 3-D model using the finite-element method yielding greater stability and faster convergence. This model is applied for segmenting magnetic resonance images.
引用
收藏
页码:1131 / 1147
页数:17
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