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Machine Vision and Applications

, Volume 6, Issue 2–3, pp 69–82 | Cite as

Sparse-pixel recognition of primitives in engineering drawings

  • Dov Dori
  • Yubin Liang
  • Joseph Dowell
  • Ian Chai
Article

Abstract

Recognition of primitives in technical drawings is the first stage in their higher level interpretation. It calls for processing of voluminous scanned raster files. This is a difficult task if each pixel must be addressed at least once, as required by Hough transform or thinning-based methods. This work presents a set of algorithms that recognize drawing primitives by examining the raster file sparsely. Bars (straight line segments), arcs, and arrowheads are identified by the orthogonal zig-zag, perpendicular Bisector tracing, and self-supervised arrowhead recognition algorithms, respectively. The common feature of these algorithms is that rather than applying massive pixel addressing, they recognize the sought primitives by screening a carefully selected sample of the image and focusing attention on identified key areas. The sparse-pixel-based algorithms yield high quality recognition, as demonstrated on a sample of engineering drawings.

Key words

Engineering drawing understanding Document recognition Computer-Aided Design (CAD) CAD conversion Raster-to-vector Vectorization 

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Copyright information

© Springer-Verlag 1993

Authors and Affiliations

  • Dov Dori
    • 1
  • Yubin Liang
    • 2
  • Joseph Dowell
    • 2
  • Ian Chai
    • 2
  1. 1.Faculty of Industrial Engineering and ManagementTechnion, Israel Institute of TechnologyHaifaIsrael
  2. 2.Department of Computer ScienceUniversity of KansasLawrenceUSA

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