{"title":"Fast total focusing method by a migration approach","authors":"E. Carcreff, Guiyang Lv, D. Braconnier","doi":"10.1109/FENDT.2015.7398325","DOIUrl":null,"url":null,"abstract":"The Total Focusing method is an efficient approach to perform ultrasonic imaging of industrial components. It consists in focusing at each point of a reconstruction area by applying coherent summations. The main issue of this method is the computation time which makes real-time imaging difficult for large images. In this paper, we propose to use a migration technique that accelerates the processing. With real data, we show that this method is much faster than the conventional technique and that the signal to noise ratio is significantly increased. Those results demonstrates the great potential of this method for real-time imaging applications.","PeriodicalId":434318,"journal":{"name":"2015 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Far East NDT New Technology & Application Forum (FENDT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FENDT.2015.7398325","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The Total Focusing method is an efficient approach to perform ultrasonic imaging of industrial components. It consists in focusing at each point of a reconstruction area by applying coherent summations. The main issue of this method is the computation time which makes real-time imaging difficult for large images. In this paper, we propose to use a migration technique that accelerates the processing. With real data, we show that this method is much faster than the conventional technique and that the signal to noise ratio is significantly increased. Those results demonstrates the great potential of this method for real-time imaging applications.