DocumentCode
756740
Title
Vector order statistics operators as color edge detectors
Author
Trahanias, P.E. ; Venetsanopoulos, A.N.
Author_Institution
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont.
Volume
26
Issue
1
fYear
1996
fDate
2/1/1996 12:00:00 AM
Firstpage
135
Lastpage
143
Abstract
Color edge detection is approached in this paper using vector order statistics. Based on the R-ordering method, a class of color edge detectors is defined. These detectors function as vector operators as opposed to component-wise operators. Specific edge detectors can be obtained as special cases of this class. Various such detectors are defined and analyzed. Experimental results show the noise robustness of the vector order statistics operators. A quantitative evaluation and comparison to other color edge detectors favors our approach. Edge detection results obtained from real color images demonstrate the effectiveness of the proposed approach in real applications
Keywords
edge detection; statistical analysis; R-ordering method; color edge detectors; color images; edge detectors; noise robustness; quantitative evaluation; vector order statistics; Color; Colored noise; Computer science; Detectors; Image edge detection; Lighting; Noise robustness; Reflectivity; Space technology; Statistics;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/3477.484445
Filename
484445
Link To Document