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Color edge detection using vector order statistics.

P E Trahanias1, A N Venetsanopoulos

  • 1Dept. of Electr. and Comput. Eng., Toronto Univ., Ont.

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|January 1, 1993
PubMed
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This study introduces a novel color edge detection method using vector fields. The proposed detector efficiently identifies edges in color images by analyzing vector magnitudes.

Area of Science:

  • Computer Vision
  • Image Processing
  • Digital Signal Processing

Background:

  • Traditional edge detection often struggles with color information.
  • Color images contain rich vector field data crucial for edge identification.

Purpose of the Study:

  • To propose a new class of color edge detectors.
  • To define and analyze a specific detector within this class.
  • To evaluate its performance against existing methods.

Main Methods:

  • Treating color images as vector fields.
  • Defining color edge detectors based on vector sample magnitudes.
  • Quantitative evaluation using Pratt's figure of merit and a test image.

Main Results:

Related Experiment Videos

  • A specific color edge detector was derived and studied.
  • The detector demonstrated efficiency in quantitative evaluations.
  • Successful edge detection was shown on real-world color images.

Conclusions:

  • The proposed vector field approach is effective for color edge detection.
  • The new detector offers an efficient solution for image analysis.
  • This method advances the field of color image processing.