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Multiscale Color Edge Detection by a Fuzzy Approach
C. Vertan
A. Stoica
V. Buzuloiu
  DOI :  10.2352/CGIV.2002.1.1.art00105  Published Online :  January 2002
Abstract

Color edge detection has been normally based on the vector extension of classical (scalar) derivative operators. This extension has been done either by the independent processing of each color component and aggregation of the partial results or by the synthesis of a special color space, featuring a single highly relevant component. These approaches fail to embed any visual perception information. This paper proposes the use of a perceptually relevant dissimilarity measure, based on a fuzzy color model and on a spatial symmetry color spread index as the basis of a color edge detector.

Journal Title : Conference on Colour in Graphics, Imaging, and Vision
Publisher Name : Society of Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151, USA
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 DOI 10.2352/CGIV.2002.1.1.art00105
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C. Vertan, A. Stoica, V. Buzuloiu, "Multiscale Color Edge Detection by a Fuzzy Approach"  in Proc. IS&T CGIV 2002 First European Conf. on Colour in Graphics, Imaging, and Vision,  2002,  pp 503 - 506,  https://doi.org/10.2352/CGIV.2002.1.1.art00105

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Copyright © Society for Imaging Science and Technology 2002
72010351
Conference on Colour in Graphics, Imaging, and Vision
conf colour graph imag vis
2158-6330
Society of Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151, USA
2158-6330(20020101)2002:1L.503;1-
cgiv_v2002n1/splitsection105.xml
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Articles
Multiscale Color Edge Detection by a Fuzzy Approach
VertanC.
StoicaA.
BuzuloiuV.
01012002
2002
1
503
506
2002
Color edge detection has been normally based on the vector extension of classical (scalar) derivative operators. This extension has been done either by the independent processing of each color component and aggregation of the partial results or by the synthesis of a special color space, featuring a single highly relevant component. These approaches fail to embed any visual perception information. This paper proposes the use of a perceptually relevant dissimilarity measure, based on a fuzzy color model and on a spatial symmetry color spread index as the basis of a color edge detector.