Active contour model with gradient directional information: Directional snake

被引:74
|
作者
Park, H [1 ]
Schoepflin, T
Kim, Y
机构
[1] Korea Adv Inst Sci & Technol, Dept Elect Engn, Yusong Gu, Taejon 305701, South Korea
[2] Univ Washington, Dept Elect Engn, Image Comp Syst Lab, Seattle, WA 98195 USA
关键词
active contour; directional snake; image gradient; segmentation; video tracking;
D O I
10.1109/76.905991
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Active contours or snakes are an effective edge-based method in segmenting an object of interest, However, the segmented boundary of a moving object in one video frame may lie far from the same moving object in the next frame due to its rapid motion, causing the snake to converge on the wrong edges. To guide the snake toward the appropriate edges, we have added gradient-directional information to the external image force to create a "directional snake." Thus, in minimizing the snake energy, the new method considers both the gradient strength and gradient direction of the image. Experimental results demonstrate that the directional snake can provide a better segmentation than the conventional method in certain situations, e.g., when there are multiple edge candidates in the neighborhood with different directions. The directional snake is significant because it provides a framework to incorporate directional information in digital video segmentation.
引用
收藏
页码:252 / 256
页数:5
相关论文
共 50 条
  • [1] Extraction of Optical Disc Geometrical Parameters with Using of Active Snake Model with Gradient Directional Information
    Kubicek, Jan
    Timkovic, Juraj
    Penhaker, Marek
    Augustynek, Martin
    Bryjova, Iveta
    Kasik, Vladimir
    INTELLIGENT INFORMATION AND DATABASE SYSTEMS (ACIIDS 2017), PT II, 2017, 10192 : 445 - 454
  • [2] Directional Preserving Gradient Vector Field for Active Contour Models
    Zhang, Shi
    Xi, Ning
    Tang, Tingting
    Wang, Gang
    Liu, Xiaozhi
    2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM), 2010,
  • [3] Gradient vector flow active contours with prior directional information
    Zhu, Guopu
    Zhang, Shuqun
    Zeng, Qingshuang
    Wang, Changhong
    PATTERN RECOGNITION LETTERS, 2010, 31 (09) : 845 - 856
  • [4] Directional geodesic active contour for image segmentation
    Zhu, Guopu
    Zhang, Shuqun
    Zeng, Qingshuang
    Wang, Changhong
    JOURNAL OF ELECTRONIC IMAGING, 2007, 16 (03)
  • [5] VFCCV SNAKE: A NOVEL ACTIVE CONTOUR MODEL COMBINING EDGE AND REGIONAL INFORMATION
    Sun, Jiuyu
    Ray, Nilanjan
    Zhang, Hong
    2014 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2014, : 927 - 931
  • [6] Active contour model (snake) for wood cell contour extraction
    Diao, Hongzhi
    Cao, Jun
    Li, Guiying
    WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 781 - 781
  • [7] Archaeological trace extraction by a local directional active contour approach
    D'Orazio, T.
    Palumbo, F.
    Guaragnella, C.
    PATTERN RECOGNITION, 2012, 45 (09) : 3427 - 3438
  • [8] Dynamic Directional Convolution Vector Field for Active Contour Models
    Wang, Gang
    Liang, Jianming
    Wang, Yang
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL II, 2010, : 43 - 46
  • [9] Archaeological trace extraction by a local directional active contour approach
    Institute of Intelligent Systems for Automation - C.N.R., Via Amendola 122/D-I, 70126 Bari, Italy
    不详
    Pattern Recogn., 1600, 9 (3427-3438):
  • [10] Hand shape contour tracking method based on directional gradient extremum
    Yuan W.-Q.
    Dong Q.
    Sang H.-F.
    Guangxue Jingmi Gongcheng/Optics and Precision Engineering, 2010, 18 (07): : 1675 - 1683