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Proceedings Paper

Color edge detectors: a subjective analysis
Author(s): Panagiotis Androutsos; Dimitrios Androutsos; Konstantinos N. Plataniotis; Anastasios N. Venetsanopoulos
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Paper Abstract

A subjective analysis is performed on various classical, and order statistic-based color edge detectors. Order statistic edge detectors imply that image pixels within a specific region, are treated statistically such that outliers can be rejected from the general trends in the data. A different type of subjective rating system is employed here and the rationale behind its use is explained. The importance of subjective edge detection lies in the development of a color edge detector which can accurately simulate what is seen by humans.

Paper Details

Date Published: 6 April 1998
PDF: 8 pages
Proc. SPIE 3304, Nonlinear Image Processing IX, (6 April 1998); doi: 10.1117/12.304606
Show Author Affiliations
Panagiotis Androutsos, Univ. of Toronto (Canada)
Dimitrios Androutsos, Univ. of Toronto (Canada)
Konstantinos N. Plataniotis, Ryerson Polytechnic Univ. (Canada)
Anastasios N. Venetsanopoulos, Univ. of Toronto (Canada)


Published in SPIE Proceedings Vol. 3304:
Nonlinear Image Processing IX
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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