Advertisement

Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model

  • Noriko Matsumoto
  • Norihiko Yoshida
  • Shuji Narazaki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5044)

Abstract

We have proposed Multi-Snake, which realizes boundary detection in image recognition with the layered cooperation of micro agents and macro agents. Cooperation in a set of micro agents constructs the behavior of a macro agent, and cooperation of the micro agents are integrated to cooperation of the macro agents. This mechanism makes the application more dynamic and flexible. Our previous proposals dealt with cooperation between some macro agents of the same kind. This paper focuses on the cooperation of macro agents of different kinds: sensor-based macro agents and model-based macro agents. We show that our proposal makes estimation improved and more robust. We verify the effectiveness of our proposal through some experiments using artificial images and real images.

Keywords

Control Point Feature Point Real Image Closed Contour Active Contour Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour model. Int.J. Computer Vision 1(4), 321–331 (1988)CrossRefGoogle Scholar
  2. 2.
    Matsumoto, N., Yoshida, N., Narazaki, S.: Active Contour Model with Decentralized Cooperative Processing. IIEEJ 34(6), 747–752 (2005)Google Scholar
  3. 3.
    Matsumoto, N., Yoshida, N., Narazaki, S.: Cooperative Active Contour Model and Its Application to Remote Sensing. In: Proc. ACM 21st Annual Symp. on Applied Computing, pp. 44–45 (2006)Google Scholar
  4. 4.
    Matsumoto, N., Yoshida, N., Narazaki, S.: Improvement of Active Contour Model with Decentralized Cooperative Processing and Its Application to Remote Sensing. International Journal of Knowledge-Based and Intelligent Engineering Systems 11(3), 169–179 (2007)CrossRefGoogle Scholar
  5. 5.
    Matsumoto, N., Yoshida, N., Narazaki, S.: Curvature Multi-Snake: Cooperative Snakes with Curvature-Based Simple Modeling. In: Proceedings of International Workshop on Advanced Image Technology 2007, pp. 632–637 (2007)Google Scholar
  6. 6.
    Etoh, M., Shirai, Y., Asada, M.: Active Contour Extraction Based on Region Descriptions Obtained from Clustering. IEICE Transactions(D-II) J75-D-II(7), 1111–1119 (1992)Google Scholar
  7. 7.
    Zhu, S., Yuille, A.: Region competition: Unifying snakes, region growing, and bayes/MDL for multiband image segmentation. IEEE Trans., PAMI 18(9), 884–900 (1996)CrossRefGoogle Scholar
  8. 8.
    Wada, T., Nomura, Y., Matsuyama, T.: Cooperative Distributed Image Segmentation. IPSJ Journal 36(4), 879–891 (1995) (in Japanese)Google Scholar
  9. 9.
    Matsuzawa, Y., Abe, T.: Region Extraction Using Competition of Multiple Active Contour Models. IEICE Transactions(D-II) J83-D-II(4), 1100–1109 (2000) (in Japanese)Google Scholar
  10. 10.
    Staib, L., Duncan, J.: Boundary finding with parametrically deformable models. IEEE Trans. PAMI 14(11), 1061–1075 (1992)CrossRefGoogle Scholar
  11. 11.
    Umeyama, S.: Contour extraction using a complex autoregressive model. Systems and Computers in Japan 28(1), 66–73 (1997)CrossRefGoogle Scholar
  12. 12.
    Cootes, T., Taylor, C., Cooper, D., Graham, J.: Active Shape models – Their Training and Application. Computer Vision and Image Understanding 61(1), 38–59 (1995)CrossRefGoogle Scholar
  13. 13.
    Lai, K., Chin, R.: Deformable contours: Modeling and extraction. IEEE Trans. PAMI 17(11), 1084–1090 (1995)CrossRefGoogle Scholar
  14. 14.
    Wang, Y., Staib, L.: Boundary finding with prior shape and smoothness models. IEEE Trans. PAMI 22(7), 738–743 (2000)CrossRefGoogle Scholar
  15. 15.
    Olstad, B., Torp, A.: Encoding of a priori information in active contour models. IEEE Trans. PAMI 18(9), 863–872 (1996)CrossRefGoogle Scholar
  16. 16.
    Matsuzawa, Y., Abe, T., Kumazawa, I.: Active Contour Model Using Shape Information Obtaned from Initial Contour. IEICE Transactions(D-II) J85-D-II(9), 1436–1445 (2002)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Noriko Matsumoto
    • 1
  • Norihiko Yoshida
    • 1
  • Shuji Narazaki
    • 1
  1. 1.Division of Mathematics, Electronics and InformaticsSaitama UniversitySaitamaJapan

Personalised recommendations