Application of a reciprocal confluence tree unit to similar-picture retrieval

  • Daniel J. Buehrer
  • C. C. Chang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 692)


S. K. Chang et al. [1] defined three types of pattern matching to retrieve “similar” symbolic pictures from a symbolic picture database. Symbolic pictures are composed of icons. Each pair of icons have 9 possible spatial relationships, depending on whether their x an y coordinates are <, =, or >. In this paper we propose the use of a reciprocal confluence tree unit [2] to compute and represent each symbolic picture as a large integer. An algorithm is then given for determining whether or not a pattern picture matches a subject picture. This algorithm runs in O(n2 log(m) + m2) time, where n is the number of icons in the pattern and m is the number of icons in the subject.


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  1. 1.
    S.K. Chang, Q.Y. Shi, and C.W. Yan: Iconic Indexing by 2-D Strings. IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. PAMI-9, No. 3, 413–428 (1987).Google Scholar
  2. 2.
    C.C. Chang, C.H. Lin: A Reciprocal Confluence Tree Unit and Its Applications. BIT, Vol. 30, 27–33, 1990.Google Scholar
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    S.K. Chang: Principles of Pictorial Information Systems Design, Prentice-Hall International, Englewood Cliffs, New Jersey, 1989.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1993

Authors and Affiliations

  • Daniel J. Buehrer
    • 1
  • C. C. Chang
    • 1
  1. 1.Institute of Information Engineering and Computer ScienceNational Chung Cheng UniversityMinHsiung, ChiayiTaiwan

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