Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa
{"title":"克劳楚克利用克伦肖递归公式重建图像矩","authors":"Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa","doi":"10.1109/EITECH.2017.8255265","DOIUrl":null,"url":null,"abstract":"The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.","PeriodicalId":447139,"journal":{"name":"2017 International Conference on Electrical and Information Technologies (ICEIT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Image moments and reconstruction by Krawtchouk via Clenshaw's reccurence formula\",\"authors\":\"Tarik Jahid, H. Karmouni, A. Hmimid, M. Sayyouri, H. Qjidaa\",\"doi\":\"10.1109/EITECH.2017.8255265\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.\",\"PeriodicalId\":447139,\"journal\":{\"name\":\"2017 International Conference on Electrical and Information Technologies (ICEIT)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Electrical and Information Technologies (ICEIT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EITECH.2017.8255265\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical and Information Technologies (ICEIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EITECH.2017.8255265","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image moments and reconstruction by Krawtchouk via Clenshaw's reccurence formula
The purpose of this paper is to compare two methods of computation of image moments and its inverse, the first is the common recursive method based on Krawtchouk polynomials with respect to x, the second is based on Krawtchouk basis and Clenshaw's formula. This paper in a first time will define these methods and in the second time will evaluate these methods and compare it to each other. We finally prove the accuracy of the proposed method in term of time consumed.