{"title":"A new invariant set for video pattern recognition in ATR systems","authors":"I. Vizitiu, C. Molder, I.A. Radu, D. Munteanu","doi":"10.1109/OPTIM.2008.4602472","DOIUrl":null,"url":null,"abstract":"The choice of an appropriate feature extraction method is essential for the success of the classification or recognition process. T his paper proposes a design method for a new pattern descriptor set based on the Flusser moment class, which is invariant to elementary geometric transformations and has an increased robustness to the action of some perturbations. Experimental results based on the use of a real video image database confirm the basic properties of this new descriptor set.","PeriodicalId":244464,"journal":{"name":"2008 11th International Conference on Optimization of Electrical and Electronic Equipment","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2008-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th International Conference on Optimization of Electrical and Electronic Equipment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2008.4602472","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 choice of an appropriate feature extraction method is essential for the success of the classification or recognition process. T his paper proposes a design method for a new pattern descriptor set based on the Flusser moment class, which is invariant to elementary geometric transformations and has an increased robustness to the action of some perturbations. Experimental results based on the use of a real video image database confirm the basic properties of this new descriptor set.
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