{"title":"多尺度形态体分割与可视化","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":"{\"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}","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}
Multi-scale morphological volume segmentation and visualization
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.