Efficient sampling for computer vision roundness inspection
Abstract. Computer vision systems are the most versatile non-contact inspection systems. However, 100 scanning of discrete industrial workpieces for roundness inspection is time-consuming. As a result, the determination of the sample size for roundness inspection using computer vision inspection systems is a critical problem. The relationship between a 1- degree of confidence and a given esti2 2 mated range of S ERS based on the chi-square distribution at different degrees of freedom has been used to determine the sample size for estimating the centre of a circle. Sequential test methods reduce the number of samples required. A double specification for sequential tests based on the sequential probability ratio test, the risk levels of and , estimated centre and a given tolerance t of roundness have been applied to determine the quality of roundness. The average number of sample pixels ANSP required to determine the quality of roundness has also been derived.
Document Type: Research Article
Publication date: 01 September 1997
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