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收集所有交通大學研究人員與學生個人或團體所發表之各項學術著作,涵蓋期刊論文、教師專書、學位論文等項。;;Collections of Publications of NCTU Researchers and Students Like Journal Papers and Thesis.

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    NEURAL NETWORKS FOR PRECISE MEASUREMENT IN COMPUTER VISION SYSTEMS
    (1995-11-01)
    SU, CT
    ;
    CHANG, CA
    ;
    TIEN, FC
    ;
    工業工程與管理學系
    ;
    Department of Industrial Engineering and Management
    Although computer vision systems have been successfully applied to some inspection tasks, they were generally not considered as precise measurement tools due to dimensional distortion and errors. This paper presents procedures to correct these errors for precise measurement. The first step is to formulate calibration models for image coordinate systems using neural networks. Then neural networks to model dimensional errors from the initial measurement are structured in a learning stage using standard parts. Finally these models are used to correct measurement errors in measurement tasks. These proposed procedures are implemented as an example.