Color image edge detection based on nonparametric density estimation

Author

Economou, G. ; Fotinos, A. ; Makrogiannis, S. ; Fotopoulos, S.

Author_Institution

Dept. of Phys., Patras Univ., Greece

Volume

1

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

922

Abstract

A novel computationally efficient adaptive algorithm to accomplish edge detection in multidimensional and color images is presented. It is a statistical approach, based on local, non-parametric kernel density estimation. The location of the edge discontinuity coincides with the image density function minimum and it is determined by appropriate resampling of the locally defined probability space. The operator is radially symmetric and can be easily adapted to cope with signals of any dimensionality

Keywords

adaptive signal processing; edge detection; estimation theory; image colour analysis; nonparametric statistics; adaptive algorithm; color image; dimensionality; edge detection; edge discontinuity; image density function minimum resampling; local nonparametric kernel density estimation; locally defined probability space; multidimensional images; statistical approach; Adaptive algorithm; Color; Density functional theory; Image edge detection; Image processing; Kernel; Laboratories; Multidimensional systems; Physics computing; Probability;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 2001. Proceedings. 2001 International Conference on

Conference_Location

Thessaloniki

Print_ISBN

0-7803-6725-1

Type

conf

DOI

10.1109/ICIP.2001.959197

Filename

959197