NGVF: An improved external force field for active contour model

被引:70
|
作者
Ning Jifeng
Wu Chengke
Liu Shigang
Yang Shuqin
机构
[1] Xidian Univ, Natl Key Lab ISN, Xian 710071, Shaanxi, Peoples R China
[2] NW A&F Univ, Yangling 712100, Shaanxi, Peoples R China
关键词
active contour model; gradient vector flow; GVF in the normal direction; image interpolation;
D O I
10.1016/j.patrec.2006.06.014
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
An improved external force field for active contour model, called as NGVF, is presented in this paper. Based on analyzing the diffusion process of the GVF and three interpolation functions, it is found that the generation of GVF contains diffusions in two orthogonal directions along the edge of image, one is the tangent direction and the other is the normal direction. Moreover, the diffusion in the normal direction plays the key role on the diffusion of GVF, while the diffusion in the tangent direction has little effect. So the GVF in the normal direction (NGVF) is taken as a new force field to study. Experiment results with several test images reveal that, compared with GVF, NGVF can enter into long, thin indention and has faster convergence speed towards the concavity and bigger time step. (c) 2006 Elsevier B.V. All rights reserved.
引用
收藏
页码:58 / 63
页数:6
相关论文
共 50 条
  • [1] Force field analysis snake: an improved parametric active contour model
    Hou, ZQ
    Han, CZ
    PATTERN RECOGNITION LETTERS, 2005, 26 (05) : 513 - 526
  • [2] A Fast External Force Field for Parametric Active Contour Segmentation
    De Vylder, Jonas
    Douterloigne, Koen
    Philips, Wilfried
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS, PT I, 2010, 6474 : 125 - 134
  • [3] Active contour external force using vector field convolution for image segmentation
    Li, Bing
    Acton, Scott T.
    IEEE TRANSACTIONS ON IMAGE PROCESSING, 2007, 16 (08) : 2096 - 2106
  • [4] Iterative Weighted Average Diffusion as a Novel External Force in the Active Contour Model
    Mirov, Ilya S.
    Nakhmani, Arie
    MEDICAL IMAGING 2016-BIOMEDICAL APPLICATIONS IN MOLECULAR, STRUCTURAL, AND FUNCTIONAL IMAGING, 2016, 9788
  • [5] Active Contour with Adaptive External Force and Confidential Prior
    Zou, Qi
    Li, Yan
    Luo, Siwei
    Huang, Yaping
    PROCEEDINGS OF 2010 CROSS-STRAIT CONFERENCE ON INFORMATION SCIENCE AND TECHNOLOGY, 2010, : 306 - 310
  • [6] An improved algorithm of contour initialization in active contour model
    Fan Yanbin
    Liu Caixia
    Zhang Bingsen
    Pan Zhenkuan
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS, 2007, : 337 - +
  • [7] An improved parametric active contour model
    Pan, Gai
    Gao, Li-Qun
    Huanan Ligong Daxue Xuebao/Journal of South China University of Technology (Natural Science), 2013, 41 (09): : 40 - 45
  • [8] Inertia: a new force field for geometric active contour
    Hua, Cui
    Wu Hanhua
    Gao Liqun
    Zhi, Kong
    2008 AMERICAN CONTROL CONFERENCE, VOLS 1-12, 2008, : 4660 - +
  • [9] An improved active contour model with fuzzy approach
    Vuwong, V
    Wilson, LS
    Hiller, J
    Jin, J
    ISSPA 96 - FOURTH INTERNATIONAL SYMPOSIUM ON SIGNAL PROCESSING AND ITS APPLICATIONS, PROCEEDINGS, VOLS 1 AND 2, 1996, : 801 - 804
  • [10] Improved Active Contour Model for Satellite Images
    Shingare, Pratibha P.
    Nagare, Madhuri M.
    Joshi, Chaitrali P.
    2013 IEEE SECOND INTERNATIONAL CONFERENCE ON IMAGE INFORMATION PROCESSING (ICIIP), 2013, : 499 - 504