Jian Liang, Bao-chang Pan, Yong-hui Huang, Xiao-yan Fan, Jian-Hui Tan
{"title":"Image segmentation of bone in X-ray pictures of feet","authors":"Jian Liang, Bao-chang Pan, Yong-hui Huang, Xiao-yan Fan, Jian-Hui Tan","doi":"10.1109/ICWAPR.2009.5207435","DOIUrl":null,"url":null,"abstract":"As the dynamic range of the targets in X-ray images of feet is wide, and the overlapping interval of the background gray value and the target is large, this article comes up with a bone-image segmentation method in X-ray pictures of feet. First of all, composite enhancement will be applied, then the distribution features of target will be exploited to carry out a dynamic partition, finally density function will be incorporated to make the segmentation. The experiment has proved that this method can effectively separate the bone image of feet.","PeriodicalId":424264,"journal":{"name":"2009 International Conference on Wavelet Analysis and Pattern Recognition","volume":"478 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Wavelet Analysis and Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWAPR.2009.5207435","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7
Abstract
As the dynamic range of the targets in X-ray images of feet is wide, and the overlapping interval of the background gray value and the target is large, this article comes up with a bone-image segmentation method in X-ray pictures of feet. First of all, composite enhancement will be applied, then the distribution features of target will be exploited to carry out a dynamic partition, finally density function will be incorporated to make the segmentation. The experiment has proved that this method can effectively separate the bone image of feet.