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Simplified technique of structure extraction from textural images

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Computer Analysis of Images and Patterns (CAIP 1993)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 719))

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Abstract

The structure extraction task is analyzed. The cooccurrence matrices (CMs) are the popular basis for this goal. We show that binary preparation of arbitrary texture preserves its structure. This transformation decreases the computational time of analysis in dozens times. The best features for these vectors detection on binary image are compared. We suggest to use CM elements jointly as the united feature for this goal. We have shown that it is more simple and stable detector than well known χ2 and κ statistics.

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Authors and Affiliations

  1. Institute of Engineering Cybernetics, Belarussian Academy of Sciences, Surganov st., 6, Minsk, Belarus

    Valery V. Starovoitov

Authors
  1. Valery V. Starovoitov
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Dmitry Chetverikov Walter G. Kropatsch

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© 1993 Springer-Verlag Berlin Heidelberg

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Starovoitov, V.V. (1993). Simplified technique of structure extraction from textural images. In: Chetverikov, D., Kropatsch, W.G. (eds) Computer Analysis of Images and Patterns. CAIP 1993. Lecture Notes in Computer Science, vol 719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-57233-3_35

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  • DOI: https://doi.org/10.1007/3-540-57233-3_35

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-57233-6

  • Online ISBN: 978-3-540-47980-2

  • eBook Packages: Springer Book Archive

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