{"title":"基于模型的裂缝分类图像处理与分析","authors":"A. Adami, K. Yang, X. Song, M. Pavel, D. Dirschl","doi":"10.1109/IEMBS.2002.1053408","DOIUrl":null,"url":null,"abstract":"We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from X-ray images. The 3D models of fractures are used to determine the X-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.","PeriodicalId":60385,"journal":{"name":"中国地球物理学会年刊","volume":"460 1","pages":"2525-2526 vol.3"},"PeriodicalIF":0.0000,"publicationDate":"2002-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Model-based image processing and analysis for fracture classification\",\"authors\":\"A. Adami, K. Yang, X. Song, M. Pavel, D. Dirschl\",\"doi\":\"10.1109/IEMBS.2002.1053408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from X-ray images. The 3D models of fractures are used to determine the X-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.\",\"PeriodicalId\":60385,\"journal\":{\"name\":\"中国地球物理学会年刊\",\"volume\":\"460 1\",\"pages\":\"2525-2526 vol.3\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"中国地球物理学会年刊\",\"FirstCategoryId\":\"1089\",\"ListUrlMain\":\"https://doi.org/10.1109/IEMBS.2002.1053408\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"中国地球物理学会年刊","FirstCategoryId":"1089","ListUrlMain":"https://doi.org/10.1109/IEMBS.2002.1053408","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model-based image processing and analysis for fracture classification
We describe an approach toward improved classification of fractures in the vicinity of ankle joints using image-specific image enhancement and 3D modeling. The enhancement approach is based on the development of a set of linear features from X-ray images. The 3D models of fractures are used to determine the X-ray image representation from a fractured surface. These models are then used in reverse to find surface parameters that are most consistent with the 2D fracture representations.
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