Color image edge detection based on nonparametric density estimation
Proceedings 2001 International Conference on Image Processing (Cat. No.01CH37205)
2001 International Conference on Image Processing
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.
Bioimaging and Biomedical Optics
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.