Non-maximum suppression of gradient magnitudes makes them easier to threshold

  • Authors:

  • Les Kitchen;Azriel Rosenfeld

  • Affiliations:

  • Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742, U.S.A.;Computer Vision Laboratory, Computer Science Center, University of Maryland, College Park, MD 20742, U.S.A.

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1982

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Abstract

Besides reducing thick responses to thin, the application of non-maximum suppression to digital gradient magnitudes also improves the form of the edge response histogram, making the choice of thresholds easier.