New connected components labeling algorithm and relevant applications on medical image processing
Lianfang Tian · Jisuanji yingyong yanjiu · 2010
In order to enhance the accuracy and efficiency of disease diagnosis,this paper presented a new connected components labeling algorithm,which could not only label regions of interest(ROIs) in medical images but also obtain features from ROIs.It began with detecting boundaries of the input boundary image,then applied boundary tracing and labeling,filled next boundaries by using image reconstruction and classified by judging whether they belonged to the same connected component,which meant rearranging the marks.Finally,features of connected components would be obtained.The present results indicate that our scheme is robust in labeling connected components of any shape with good speed,meanwhile,it can obtain features of connected components.So far it has been applied to many fields in medical image processing,which definitely provides a better basis for the following image processing.