Interactive Method for Image Segmentation Based on Cloud Model
Tao Pei · Computer Engineering and Applications Journal · 2006
This paper researches qualitative and quantitative transformation model-cloud model in uncertain artificial intelligence in order to solve uncertain questions which exist in image segmentation.We propose a new approach for image segmentation based on the cloud model.This method adopts the interactive way to choice training site,produce cloud models using pixels in the training site.Finally we produce a Pan-Concept-Tree with Pan-Concept-Tree Generation algorithm,and realize image segmentation with maximum likelihood principle.This method is more effective to express uncertainty in image.Several group of experiments show that this method can segment goals in image exactly,and more effectively than traditional image segmentation algorithm.