{"title":"保持边缘的部分变量中值滤波在CT切片中的快速降噪","authors":"T. Galba, Krešimir Romić, A. Baumgartner","doi":"10.1109/ELMAR.2014.6923349","DOIUrl":null,"url":null,"abstract":"Median filter as a widespread noise reduction technique is here adapted for images taken with computed tomography (CT) scanner. In order to remove noise and thereby preserve edges and clear contours of objects we propose adapted method which uses partial variable median filtering. Except method explanation, we propose suitable platform for implementation, considering size of data set and time requirements of our method. Experimental image processing results and performance tests are shown in this paper.","PeriodicalId":424325,"journal":{"name":"Proceedings ELMAR-2014","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Edge-preserving partial variable median filtering for fast noise reduction in CT slices\",\"authors\":\"T. Galba, Krešimir Romić, A. Baumgartner\",\"doi\":\"10.1109/ELMAR.2014.6923349\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Median filter as a widespread noise reduction technique is here adapted for images taken with computed tomography (CT) scanner. In order to remove noise and thereby preserve edges and clear contours of objects we propose adapted method which uses partial variable median filtering. Except method explanation, we propose suitable platform for implementation, considering size of data set and time requirements of our method. Experimental image processing results and performance tests are shown in this paper.\",\"PeriodicalId\":424325,\"journal\":{\"name\":\"Proceedings ELMAR-2014\",\"volume\":\"33 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings ELMAR-2014\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELMAR.2014.6923349\",\"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 ELMAR-2014","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELMAR.2014.6923349","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Edge-preserving partial variable median filtering for fast noise reduction in CT slices
Median filter as a widespread noise reduction technique is here adapted for images taken with computed tomography (CT) scanner. In order to remove noise and thereby preserve edges and clear contours of objects we propose adapted method which uses partial variable median filtering. Except method explanation, we propose suitable platform for implementation, considering size of data set and time requirements of our method. Experimental image processing results and performance tests are shown in this paper.