CAJ | 학술논문

基于区域的图像分割方法由于其高效、稳健的特点成为自动或半自动图像分割方法的研究热点之一.针对区域分割方法中存在的不确定性问题,提出了一种基于云模型的区域分割方法.首先以云变换为基础确定了区域生长过程中的生长准则,然后以逆向云算法实现分割区域南定量的像素集合到定性的云概念的转换过程,最后以云综合算法为基础将相邻区域进行合并,实现了基于区域的不确定性网像分割.两组图像分割实验表明该方法可以准确地分割出目标,并优于传统的图像分割算法.
기우구역적도상분할방법유우기고효、은건적특점성위자동혹반자동도상분할방법적연구열점지일.침대구역분할방법중존재적불학정성문제,제출료일충기우운모형적구역분할방법.수선이운변환위기출학정료구역생장과정중적생장준칙,연후이역향운산법실현분할구역남정량적상소집합도정성적운개념적전환과정,최후이운종합산법위기출장상린구역진행합병,실현료기우구역적불학정성망상분할.량조도상분할실험표명해방법가이준학지분할출목표,병우우전통적도상분할산법.
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 growingcriteria,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.