Locating object contours in complex background using improved snakes

被引:28
|
作者
Shih, Frank Y. [1 ]
Zhang, Kai [1 ]
机构
[1] New Jersey Inst Technol, Coll Comp Sci, Comp Vis Lab, Newark, NJ 07102 USA
关键词
snake; active contour model; image segmentation; edge detection;
D O I
10.1016/j.cviu.2006.08.007
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An active contour model, called snake, can adapt to object boundary in an image. A snake is defined as an energy minimizing spline guided by external constraint forces and influenced by image forces that pull it toward features such as lines or edges. The traditional snake model fails to locate object contours that appear in complex background. in this paper, we present an improved snake model associated with new regional similarity energy and a gravitation force field to attract the snake approaching the object contours efficiently. Experiment results show that our snake model works successfully for convex and concave objects in a variety of complex backgrounds. (c) 2006 Elsevier Inc. All rights reserved.
引用
收藏
页码:93 / 98
页数:6
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