Using Distributed Active Agents to Detect the Symmetry Axes in Gray Images
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    Abstract:

    As an important research area in pattern recognition and computation geometry, the symmetry of image has many applications in object recognition, visual inspection and shape representation etc. A novel approach that uses distributed active agents to extract the basic reflectional symmetry axes in gray images is presented in this paper. It detects, groups and links the prominent local symmetry axes by simulating the behaviors of the agents such as inhabit, evolve, diffusion and death in local image environme.It can extract the basic reflectional symmetry axes of the arbitrary gray images and is suitable for parallel implementation.The experimental results on the natural images show that this approach is sfficient.

    Reference
    [1] Atallah, M.J. On symmetry detection. IEEE Transactions on Computers, 1985,c-34(7):663~666.
    [2] Yip, R.K.K. A hough transform technique for the detection of reflectional symmetry and skewed-symmetry. Pattern Recognition Letters, 2000,21(2):117~130.
    [3] Liu, Hong, Zeng, Guang-zhou, Lin, Zong-kai. Construction of software agents. Computer Science, 1998,25(2):24~28 (in Chinese).
    [4] Liu, J., Tang, Y.Y. Adaptive image segmentation with distributed behavior-based agents. IEEE Transactions on PAMI, 1999,21(6): 544~551.
    [5] Kiryati, N., Gofman, Y. Detecting symmetry in grey level images: the global optimization approach. International Journal of Computer Vision, 1998,29(1):29~45.
    [6] 刘弘,曾广周,林宗楷.软件Agent的构筑,计算机科学,1998,25(2):24~28.
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刘俊义,王润生.利用分布式主动智能体检测灰度图像的对称轴.软件学报,2002,13(7):1238-1241

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History
  • Received:September 16,2000
  • Revised:February 20,2001
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