Title
Color image edge detection based on nonparametric density estimation
Document Type
Conference Paper
Publication Title
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
Conference
2001 International Conference on Image Processing
Publication Date
2001
Date Added
2022-03-29
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.
DOI
10.1109/ICIP.2001.959197
ISBN
978-0-7803-6725-8
Keywords
Technology
Disciplines
Bioimaging and Biomedical Optics
Recommended Citation
Economou, G.; Fotinos, A.; Makrogiannis, S.; and Fotopoulos, S., "Color image edge detection based on nonparametric density estimation" (2001). College of Agriculture, Science, and Technology. 48.
https://research.paynecenter.org/desu_cast/48
Publisher
IEEE