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A benchmark: Performance evaluation of dashed-line detection algorithms

  • Bin Kong
  • Ihsin T. Phillips
  • Robert M. Haralick
  • Arathi Prasad
  • Rangachar Kasturi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1072)

Abstract

This paper describes a protocol for systematically evaluating the performance of dashed-line detection algorithms. It includes a test image generator which creates random line patterns subject to prespecified constraints. The generator also outputs ground truth data for each line in the image. The output of the dashed line detection algorithm is then compared to these ground truths and evaluated using a set of criteria.

Keywords

Line Segment Ground Truth Test Image Line Pattern Match Table 
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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References

  1. 1.
    R.M. Haralick, “Detection Performance Methodology” Proceedings Image Understanding Workshop, Palm Springs, California, February 1996, Vol II, pp. 981–983.Google Scholar
  2. 2.
    J.D. Foley and A. Van Dam, “Computer Graphics, Principles and Practice” Addison-Wesley, Reading, Massachusetts, 1991Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1996

Authors and Affiliations

  • Bin Kong
    • 1
  • Ihsin T. Phillips
    • 2
  • Robert M. Haralick
    • 1
  • Arathi Prasad
    • 3
  • Rangachar Kasturi
    • 3
  1. 1.Department of Electrical EngineeringUniversity of WashingtonSeattleUSA
  2. 2.Department of Computer ScienceSeattle UniversitySeattleUSA
  3. 3.Department of Computer Science and EngineeringPennsylvania State UniversityUniversity ParkUSA

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