P. Sun, Ran Zhao, Xinyu Zhang, Chunhua Hu, Qing Dai
{"title":"An improved fringe frequency extraction method based on window fourier ridge","authors":"P. Sun, Ran Zhao, Xinyu Zhang, Chunhua Hu, Qing Dai","doi":"10.1109/ICAIT.2017.8388820","DOIUrl":null,"url":null,"abstract":"In order to accurately extract the local frequency in fringe patterns obtained by Michelson interferometer, an improved fringe frequency extraction method was proposed. The normalized spectrum was utilized to estimate the fringe frequency, rather than searched the amplitude maximum of original spectrum. The proposed algorithm was used to extract the local frequency of fringe patterns generated by Matlab. Simulated results showed that the proposed method has a better performance in extracting fringe frequency. The new algorithm had higher precision and broader range of applications than the original window Fourier ridge algorithm.","PeriodicalId":376884,"journal":{"name":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 9th International Conference on Advanced Infocomm Technology (ICAIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIT.2017.8388820","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
In order to accurately extract the local frequency in fringe patterns obtained by Michelson interferometer, an improved fringe frequency extraction method was proposed. The normalized spectrum was utilized to estimate the fringe frequency, rather than searched the amplitude maximum of original spectrum. The proposed algorithm was used to extract the local frequency of fringe patterns generated by Matlab. Simulated results showed that the proposed method has a better performance in extracting fringe frequency. The new algorithm had higher precision and broader range of applications than the original window Fourier ridge algorithm.