A New Method of Region Based Image Segmentation Based on Cloud Model
Kai Xü · 2010
The region based segmentation method has been attracting much attention in automatic or semi-automatic image segmentation research.This paper proposes a new region based segmentation method based on cloud model in order to take uncertainty into account in image segmentation.Firstly,cloud transform algorithm is given to determine the growing criteria,and then the region is transformed from quantitative pixel set to qualitative concept by backward cloud algorithm,finally cloud synthesis algorithm is realized to merge the two adjacent regions.Experiments show that the new method can extract target from background accurately,and more effectively than traditional image segmentation method.