{"title":"计算机断层扫描中物体的可视化","authors":"T. Petrova, Z. Petrov","doi":"10.1109/INFOTEH53737.2022.9751325","DOIUrl":null,"url":null,"abstract":"The article examines methods for separating contours from computed tomography images. The important about the contours is that they are the places where a sharp change in the brightness of adjacent pixels takes place and to highlight them must be used so called “high-pass filters”. The article examines the separation of contours by first-order differential operators. An analysis of the existing methods of contour separation in images and the results obtained from their application on tomographic images is presented.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"7 1","pages":"1-4"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Visualization of Objects in Computer Tomography\",\"authors\":\"T. Petrova, Z. Petrov\",\"doi\":\"10.1109/INFOTEH53737.2022.9751325\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article examines methods for separating contours from computed tomography images. The important about the contours is that they are the places where a sharp change in the brightness of adjacent pixels takes place and to highlight them must be used so called “high-pass filters”. The article examines the separation of contours by first-order differential operators. An analysis of the existing methods of contour separation in images and the results obtained from their application on tomographic images is presented.\",\"PeriodicalId\":6839,\"journal\":{\"name\":\"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)\",\"volume\":\"7 1\",\"pages\":\"1-4\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFOTEH53737.2022.9751325\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFOTEH53737.2022.9751325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The article examines methods for separating contours from computed tomography images. The important about the contours is that they are the places where a sharp change in the brightness of adjacent pixels takes place and to highlight them must be used so called “high-pass filters”. The article examines the separation of contours by first-order differential operators. An analysis of the existing methods of contour separation in images and the results obtained from their application on tomographic images is presented.
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