{"title":"Image Registration Using Radial Basis Function","authors":"R. Rajeswari, A. Irudhayaraj","doi":"10.1109/ICMLC.2010.66","DOIUrl":null,"url":null,"abstract":"Radial basis function(RBF) is used to register source image with target image. Training the RBF network is done with inputs as X,Y co-ordinates of the characteristic points from source and target images. The target output in the output layer is taken as the amount and direction of horizontal shift, vertical shift, angle of rotation required to align source image with target image. This approach results in less alignment error.","PeriodicalId":423912,"journal":{"name":"2010 Second International Conference on Machine Learning and Computing","volume":"248 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Second International Conference on Machine Learning and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMLC.2010.66","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Radial basis function(RBF) is used to register source image with target image. Training the RBF network is done with inputs as X,Y co-ordinates of the characteristic points from source and target images. The target output in the output layer is taken as the amount and direction of horizontal shift, vertical shift, angle of rotation required to align source image with target image. This approach results in less alignment error.