Image segmentation using random features
Published in Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE • Jan 10, 2014
Authors:,,
Geoff Bull
Junbin Gao
Michael Antolovich
Abstract
This paper presents a novel algorithm for selecting random features via compressed sensing to improve the performance of Normalized Cuts in image segmentation. Normalized Cuts is a clustering algorithm that has been widely applied to segmenting images, using features such as brightness, intervening ...
Finding related papers...
Discussions
(0)No comments yet
Be the first to share your thoughts!