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Two dimensional pattern matching in a digitized image

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Combinatorial Pattern Matching (CPM 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 684))

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Abstract

For motivation purpose, imagine the following continuous pattern matching problem. Given are two continuous pictures, each consisting of unicolor regions; one picture is called the scene and the other the pattern. The problem is to find all occurrences of the pattern in the scene.

As a step towards efficient algorithmic handling of the continuous pattern matching problem by computers, where discretized representations are involved, we consider in this paper a two-dimensional pattern matching problem where the pattern and the text are specified in terms of exemplar digitized images.

From the wider perspective of areas such as computer vision or image processing, our problem definitions identify an important gap in the fundamental theory of image formation and image processing — how to determine, even in the absence of noise, if a digitized image of a scene could contain an image of a given pattern?

Partially supported by the New York State Science and Technology Foundation Center for Advanced Technology.

Partially supported by NSF grants CCR-8906949 and CCR-9111348.

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Alberto Apostolico Maxime Crochemore Zvi Galil Udi Manber

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© 1993 Springer-Verlag Berlin Heidelberg

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Landau, G.M., Vishkin, U. (1993). Two dimensional pattern matching in a digitized image. In: Apostolico, A., Crochemore, M., Galil, Z., Manber, U. (eds) Combinatorial Pattern Matching. CPM 1993. Lecture Notes in Computer Science, vol 684. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029802

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  • DOI: https://doi.org/10.1007/BFb0029802

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  • Print ISBN: 978-3-540-56764-6

  • Online ISBN: 978-3-540-47732-7

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