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Local Structural Analysis: A Primer

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Graphics Recognition. Recent Advances and Perspectives (GREC 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3088))

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Abstract

The structural analysis is a processing step during which graphs are extracted from binary images. We can decompose the structural analysis into local and global approaches. The local approach decomposes the connected components, and the global approach groups them together. This paper deals especially with the local structural analysis. The local structural analysis is employed for different applications like symbol recognition, line drawing interpretation, and character recognition. We propose here a primer on the local structural analysis. First, we propose a general decomposition of the local structural analysis into four steps: object graph extraction, mathematical approximation, high-level object construction, and object graph correction. Then, we present some considerations on the method comparison and combination.

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Author information

Authors and Affiliations

  1. Laboratory PSI, University of Rouen, 76 821, Mont Saint Aignan, France

    Mathieu Delalandre & Eric Trupin

  2. Laboratory L3I, University of La Rochelle, 17042, La Rochelle, France

    Jean-Marc Ogier

Authors
  1. Mathieu Delalandre
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  2. Eric Trupin
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  3. Jean-Marc Ogier
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Editor information

Editors and Affiliations

  1. Computer Vision Center, Universitat Autònoma de Barcelona, Bellaterra, 08193, (Barcelona), Spain

    Josep Lladós

  2. Departmen Computer Science and Engineering, Chung-Ang University, 221 Heuksukdong, Dongjakku, Seoul, Korea

    Young-Bin Kwon

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Delalandre, M., Trupin, E., Ogier, JM. (2004). Local Structural Analysis: A Primer. In: Lladós, J., Kwon, YB. (eds) Graphics Recognition. Recent Advances and Perspectives. GREC 2003. Lecture Notes in Computer Science, vol 3088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25977-0_21

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  • DOI: https://doi.org/10.1007/978-3-540-25977-0_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22478-5

  • Online ISBN: 978-3-540-25977-0

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