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.
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Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour model. Int.J. Computer Vision 1(4), 321–331 (1988)
Matsumoto, N., Yoshida, N., Narazaki, S.: Active Contour Model with Decentralized Cooperative Processing. IIEEJ 34(6), 747–752 (2005)
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)
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)
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)
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)
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)
Wada, T., Nomura, Y., Matsuyama, T.: Cooperative Distributed Image Segmentation. IPSJ Journal 36(4), 879–891 (1995) (in Japanese)
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)
Staib, L., Duncan, J.: Boundary finding with parametrically deformable models. IEEE Trans. PAMI 14(11), 1061–1075 (1992)
Umeyama, S.: Contour extraction using a complex autoregressive model. Systems and Computers in Japan 28(1), 66–73 (1997)
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)
Lai, K., Chin, R.: Deformable contours: Modeling and extraction. IEEE Trans. PAMI 17(11), 1084–1090 (1995)
Wang, Y., Staib, L.: Boundary finding with prior shape and smoothness models. IEEE Trans. PAMI 22(7), 738–743 (2000)
Olstad, B., Torp, A.: Encoding of a priori information in active contour models. IEEE Trans. PAMI 18(9), 863–872 (1996)
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)
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Matsumoto, N., Yoshida, N., Narazaki, S. (2009). Layered Cooperation of Macro Agents and Micro Agents in Cooperative Active Contour Model. In: Ghose, A., Governatori, G., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2007. Lecture Notes in Computer Science(), vol 5044. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01639-4_8
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DOI: https://doi.org/10.1007/978-3-642-01639-4_8
Publisher Name: Springer, Berlin, Heidelberg
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