Color edge detection using vector order statistics

Type: Article

Publication Date: 1993-04-01

Citations: 156

DOI: https://doi.org/10.1109/83.217230

Abstract

A method is proposed whereby a color image is treated as a vector field and the edge information carried directly by the vectors is exploited. A class of color edge detectors is defined as the minimum over the magnitudes of linear combinations of the sorted vector samples. From this class, a specific edge detector is obtained and its performance characteristics studied. Results of a quantitative evaluation and comparison to other color edge detectors, using Pratt's (1991) figure of merit and an artificially generated test image, are presented. Edge detection results obtained for real color images demonstrate the efficiency of the detector.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

Locations

  • IEEE Transactions on Image Processing - View
  • TSpace (University of Toronto) - View - PDF
  • PubMed - View

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Works Cited by This (1)

Action Title Year Authors
+ The Ordering of Multivariate Data 1976 V. Barnett