Title :
Color edge detection using vector order statistics
Author :
Trahanias, P.E. ; Venetsanopoulos, A.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
fDate :
4/1/1993 12:00:00 AM
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
Keywords :
colour; edge detection; statistics; vectors; color edge detectors; color image; colour edge detection; edge information; performance; test image; vector field; vector order statistics; vector samples; Aggregates; Application software; Color; Detectors; Entropy; Image edge detection; Image generation; Statistics; Testing; Vectors;
Journal_Title :
Image Processing, IEEE Transactions on