{"title":"Multi-scale morphological volume segmentation and visualization","authors":"Runzhen Huang, E. Lum, K. Ma","doi":"10.1109/APVIS.2007.329286","DOIUrl":null,"url":null,"abstract":"This paper presents a multi-scale morphology approach to the volume segmentation and visualization problem. The basis of the approach is applying morphological operations with spherical structuring elements at various sizes to create a representation of the volume data that encodes structural information at multiple scales. Through an interactive user interface, the user can effectively segment and visualize a specific feature of interest using a fast, region growing method with this multi-scale data representation. A graph representing the segmented feature is created to facilitate interactive visual inspection and refinement of the feature. We have introduced a new volume data visualization technique based on interactive segmentation rather than the traditional transfer-function based classification approach. This new technique offers the user greater power in isolating and examining volumetric features of interest.","PeriodicalId":136557,"journal":{"name":"2007 6th International Asia-Pacific Symposium on Visualization","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 6th International Asia-Pacific Symposium on Visualization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APVIS.2007.329286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper presents a multi-scale morphology approach to the volume segmentation and visualization problem. The basis of the approach is applying morphological operations with spherical structuring elements at various sizes to create a representation of the volume data that encodes structural information at multiple scales. Through an interactive user interface, the user can effectively segment and visualize a specific feature of interest using a fast, region growing method with this multi-scale data representation. A graph representing the segmented feature is created to facilitate interactive visual inspection and refinement of the feature. We have introduced a new volume data visualization technique based on interactive segmentation rather than the traditional transfer-function based classification approach. This new technique offers the user greater power in isolating and examining volumetric features of interest.