What is it about?
beta-divergence based segmentation model for radar images.
Featured Image
Why is it important?
Finding a mean of the segmented region is very important in center-based segmentation, such as k-means. In this paper, we show that we can find the mean in closed form irrespective of the noise types which can be explained with beta-divergence, e.g., multiplicative noise, poisson noise, gaussian noise etc.
Perspectives
This paper shows usefulness of the beta-divergence in various image segmentation problems.
Prof. Hyenkyun Woo
Korea University of Technology and Education
Read the Original
This page is a summary of: Beta-divergence based two-phase segmentation model for synthetic aperture radar images, Electronics Letters, September 2016, the Institution of Engineering and Technology (the IET),
DOI: 10.1049/el.2016.2798.
You can read the full text:
Contributors
The following have contributed to this page
