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Detection of Black Point Houses on the Large Size Scanned Topographic Map

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Graphics Recognition Recent Advances (GREC 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1941))

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Abstract

In this paper, an automatic method for the detection of houses which represented black points on the large size scanned topographic map is described. Various signals such as characters, lines, signs, and dashed lines may overlapped with the house symbol. After contour detection method is used for detecting isolated houses. Run-length encoding method is used for manipulating houses touching with grid lines. Character and symbol elimination and morphological operations is done for the houses touched to roads and borderlines. Various recognition results are described.

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References

  1. R. Kasturi et al., “Map data processing in Geographic Information System”, IEEE Computer, pp.13–21, Dec. 1989.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, Chung-Ang University Seoul, 156-756, South Korea

    Young-Bin Kwon

Authors
  1. Young-Bin Kwon
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Editor information

Editors and Affiliations

  1. Verizon Communications, 500 Westchester Avenue, White Plains, 10604, NY, USA

    Atul K. Chhabra

  2. School of Engineering, Engineering Systems Division, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA 02139-4307, USA

    Dov Dori

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© 2000 Springer-Verlag Berlin Heidelberg

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Kwon, YB. (2000). Detection of Black Point Houses on the Large Size Scanned Topographic Map. In: Chhabra, A.K., Dori, D. (eds) Graphics Recognition Recent Advances. GREC 1999. Lecture Notes in Computer Science, vol 1941. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-40953-X_7

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  • DOI: https://doi.org/10.1007/3-540-40953-X_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-41222-9

  • Online ISBN: 978-3-540-40953-3

  • eBook Packages: Springer Book Archive

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