{"title":"Theoretic design of a smart vision sensor","authors":"Hongmei Gao, Xiang Chen","doi":"10.1109/CCECE.2001.933616","DOIUrl":null,"url":null,"abstract":"The correlation method for image analysis is applied to the theoretic design of a smart vision sensor, which can be implemented to find the 2-dimensional position of static targets. In particular, the problem of finding the deviations along both X and Y directions is formulated as a matching process between the saved template of the desired position and the pictures of real static targets captured by a 'vision' element (for example, a CCD camera) through correlation analysis of the spatial shifts in 2-dimension. It is noted that the size of the captured images by the vision element can be reduced in our design in order to accommodate fast real-time application with reasonable accuracy and reliability. An example shows that our design idea exhibits a good performance in finding the deviations along both X and Y axes of a sheet of foam barriers and can be potentially used to design a real high performance and cost saving smart vision sensor.","PeriodicalId":184523,"journal":{"name":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2001-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Conference on Electrical and Computer Engineering 2001. Conference Proceedings (Cat. No.01TH8555)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCECE.2001.933616","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
The correlation method for image analysis is applied to the theoretic design of a smart vision sensor, which can be implemented to find the 2-dimensional position of static targets. In particular, the problem of finding the deviations along both X and Y directions is formulated as a matching process between the saved template of the desired position and the pictures of real static targets captured by a 'vision' element (for example, a CCD camera) through correlation analysis of the spatial shifts in 2-dimension. It is noted that the size of the captured images by the vision element can be reduced in our design in order to accommodate fast real-time application with reasonable accuracy and reliability. An example shows that our design idea exhibits a good performance in finding the deviations along both X and Y axes of a sheet of foam barriers and can be potentially used to design a real high performance and cost saving smart vision sensor.