L. Hargaš, D. Koniar, M. Hrianka, P. Ďurdík, P. Bánovčin
{"title":"基于虚拟仪器的运动目标搜索","authors":"L. Hargaš, D. Koniar, M. Hrianka, P. Ďurdík, P. Bánovčin","doi":"10.1109/AE.2014.7011677","DOIUrl":null,"url":null,"abstract":"The moving object can be described, based on frequency analysis and segmentation process. The moving objects are captured by highspeed video camera and image analysis is necessary for evaluation. This fact is very important in medical applications, when the moving objects (cilias) are needed to determine patient's diagnosis. The artifacts (moving detrit, bubles) must be removed from analysis result. Synthesis of these steps brings more accurate information about regions with useful information (regions with normal motion of objects).","PeriodicalId":149779,"journal":{"name":"2014 International Conference on Applied Electronics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Moving object searching based on virtual instrumentation\",\"authors\":\"L. Hargaš, D. Koniar, M. Hrianka, P. Ďurdík, P. Bánovčin\",\"doi\":\"10.1109/AE.2014.7011677\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The moving object can be described, based on frequency analysis and segmentation process. The moving objects are captured by highspeed video camera and image analysis is necessary for evaluation. This fact is very important in medical applications, when the moving objects (cilias) are needed to determine patient's diagnosis. The artifacts (moving detrit, bubles) must be removed from analysis result. Synthesis of these steps brings more accurate information about regions with useful information (regions with normal motion of objects).\",\"PeriodicalId\":149779,\"journal\":{\"name\":\"2014 International Conference on Applied Electronics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on Applied Electronics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AE.2014.7011677\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Applied Electronics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AE.2014.7011677","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moving object searching based on virtual instrumentation
The moving object can be described, based on frequency analysis and segmentation process. The moving objects are captured by highspeed video camera and image analysis is necessary for evaluation. This fact is very important in medical applications, when the moving objects (cilias) are needed to determine patient's diagnosis. The artifacts (moving detrit, bubles) must be removed from analysis result. Synthesis of these steps brings more accurate information about regions with useful information (regions with normal motion of objects).
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