{"title":"基于模板匹配的体数据边缘检测方法","authors":"Lisheng Wang, T. Wong, P. Heng, J. Cheng","doi":"10.1109/MIAR.2001.930305","DOIUrl":null,"url":null,"abstract":"This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3/spl times/3/spl times/3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.","PeriodicalId":375408,"journal":{"name":"Proceedings International Workshop on Medical Imaging and Augmented Reality","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Template-matching approach to edge detection of volume data\",\"authors\":\"Lisheng Wang, T. Wong, P. Heng, J. Cheng\",\"doi\":\"10.1109/MIAR.2001.930305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3/spl times/3/spl times/3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.\",\"PeriodicalId\":375408,\"journal\":{\"name\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"volume\":\"22 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2001-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings International Workshop on Medical Imaging and Augmented Reality\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIAR.2001.930305\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings International Workshop on Medical Imaging and Augmented Reality","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIAR.2001.930305","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Template-matching approach to edge detection of volume data
This paper proposes a template-matching approach to the edge detection of volume data. Twenty-six templates of an ideal step-like edge in the 3/spl times/3/spl times/3 neighborhood of volume data are given, and the step-like edge of volume data is detected by matching such patterns in various orientations. The approach is a simple and straightforward one for edge detection of volume data. It generalizes the well-known Kirsch operator for 2D images. It can detect change of intensity in every direction, and has the property of rotation invariance in 18-neighborhood. Implementation of proposed approach is given for biological and medical volume data, including MRI and CT volume data.
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