Abstract
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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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).
C.C. Chang, C.H. Lin: A Reciprocal Confluence Tree Unit and Its Applications. BIT, Vol. 30, 27–33, 1990.
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C.C. Chang: A Fast Algorithm to Retrieve Symbolic Pictures. International Journal of Computer Mathematics, Vol. 43, No. 1&2 (1992).
S.K. Chang: Principles of Pictorial Information Systems Design, Prentice-Hall International, Englewood Cliffs, New Jersey, 1989.
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© 1993 Springer-Verlag Berlin Heidelberg
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Buehrer, D.J., Chang, C.C. (1993). Application of a reciprocal confluence tree unit to similar-picture retrieval. In: Abel, D., Chin Ooi, B. (eds) Advances in Spatial Databases. SSD 1993. Lecture Notes in Computer Science, vol 692. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56869-7_24
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DOI: https://doi.org/10.1007/3-540-56869-7_24
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