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  2008, Vol. 21 Issue (6): 799-805    DOI:
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Adaptive Gradient Vector Flow Algorithm for Boundary Extraction
ZHANG Rong-Guo1,2, LIU Xiao-Jun1, WANG Rong2, LIU Kun1
1.School of Mechanical and Automotive Engineering,Hefei University of Technology, Hefei 2300092.
School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024

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Abstract  Adaptive gradient vector flow algorithm is proposed for boundary extraction as an improved method of gradient vector flow. Firstly, adjust factors are introduced to improve characters of diffusion field near the boundary. Then, an additional force is added in the normal direction of the active contour edge. According to the current location, the evolution directions of the curve can be determined in gradient vector flow field. Combined with gradient vector flow, the proposed algorithm can speed up the convergence with its large capture range maintained. It can solve deep concave problem as well as bottleneck problem. The experimental results demonstrate that the proposed method is efficient.
Key wordsActive Contour Model      Gradient Vector Flow      Adaptiveness      Normal Force     
Received: 28 May 2007     
ZTFLH: TP391  
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ZHANG Rong-Guo
LIU Xiao-Jun
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LIU Kun
Cite this article:   
ZHANG Rong-Guo,LIU Xiao-Jun,WANG Rong等. Adaptive Gradient Vector Flow Algorithm for Boundary Extraction[J]. , 2008, 21(6): 799-805.
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