Using quantitative statistics for the construction of machine vision systems | Zendy

Neil A. Thacker | Zendy

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<title>Using quantitative statistics for the construction of machine vision systems</title>

Author(s) -

Neil A. Thacker

Publication year - 2003

Publication title -

proceedings of spie, the international society for optical engineering/proceedings of spie

Language(s) - English

Resource type - Conference proceedings

SCImago Journal Rank - 0.192

H-Index - 176

eISSN - 1996-756X

pISSN - 0277-786X

DOI - 10.1117/12.468491

Subject(s) - computer science , set (abstract data type) , base (topology) , matching (statistics) , machine learning , machine vision , artificial intelligence , interpretation (philosophy) , algorithm , data mining , statistics , mathematics , mathematical analysis , programming language

This paper describes a design methodology for constructing machine vision systems. Central to this is the use of empirical design techniques and in particular quantitative statistics. The approach views both the construction and evaluation of systems as one and is based upon what could be regarded as a set of self-evident propositions;

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