{"title":"连接骨架从3D距离变换","authors":"D. Capson, A. Fung","doi":"10.1109/IAI.1998.666881","DOIUrl":null,"url":null,"abstract":"An algorithm for generating connected skeletons of binary regions in volumetric images is presented. The method is based on a 3D distance transformation which may be computed in two passes through the input image voxels. We introduce the concept of rings and satellites for the identification of 3D saddle points in the distance transformed image which are used to ensure connectivity in the skeleton.","PeriodicalId":373701,"journal":{"name":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1998-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Connected skeletons from 3D distance transforms\",\"authors\":\"D. Capson, A. Fung\",\"doi\":\"10.1109/IAI.1998.666881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An algorithm for generating connected skeletons of binary regions in volumetric images is presented. The method is based on a 3D distance transformation which may be computed in two passes through the input image voxels. We introduce the concept of rings and satellites for the identification of 3D saddle points in the distance transformed image which are used to ensure connectivity in the skeleton.\",\"PeriodicalId\":373701,\"journal\":{\"name\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"volume\":\"54 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1998-04-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IAI.1998.666881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1998 IEEE Southwest Symposium on Image Analysis and Interpretation (Cat. No.98EX165)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IAI.1998.666881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An algorithm for generating connected skeletons of binary regions in volumetric images is presented. The method is based on a 3D distance transformation which may be computed in two passes through the input image voxels. We introduce the concept of rings and satellites for the identification of 3D saddle points in the distance transformed image which are used to ensure connectivity in the skeleton.