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Contour line extraction from color images of scanned maps

  • Marc Lalonde
  • Ying Li
Poster Session A: Color & Texture, Enchancement, Image Analysis & Pattern Recognition, Segmentation
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1310)

Abstract

This paper reports our work on contour line extraction from color images of scanned maps. Color processing extracts the basic colors of an image by switching from RGB to L*a*b color space, projecting the image on its principal axes and using modified histogram splitting. After the user has selected one of the extracted colors, pixel color classification yields a binary image that is thinned for connected-component analysis. Line extraction and merging follows, along with contour line formation based on connectability between the line segments.

Keywords

Line Segment Color Image Color Space Contour Line Closed Contour 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1997

Authors and Affiliations

  • Marc Lalonde
    • 1
  • Ying Li
    • 1
  1. 1.Knowledge-Based Systems GroupCentre de recherche informatique de MontréalMontréalCanada

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