Perceptual fuzzy multiscale color edge detection

Author

Vertan, C. ; Stoica, A. ; Fernandez-Maloigne, C.

Author_Institution

LAPI, Bucharest Politecnica Univ., Romania

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

19

Lastpage

22

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

Keywords

edge detection; fuzzy set theory; image colour analysis; color space synthesis; fuzzy color model; partial results aggregation; perceptual fuzzy multiscale color edge detection; perceptually relevant dissimilarity measure; scalar derivative operators; spatial symmetry color spread index; vector extension; Color; Detectors; Fuzzy sets; Image analysis; Image edge detection; Image segmentation; Laplace equations; Maximum likelihood detection; Performance evaluation; Visual perception;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1007234

Filename

1007234