Efficient sampling for computer vision straightness inspection

被引：4

作者：

Chen, CB ^{[1
]}

Wei, CC

机构：

[1] Ming Chuan Univ, Dept Business Adm, Taipei, Taiwan

[2] Chung Hua Univ, Dept Ind Engn & Management, Hsinchu, Taiwan

来源：

COMPUTER INTEGRATED MANUFACTURING SYSTEMS | 1998年 / 11卷 / 03期

关键词：

computer vision; straightness; least square method; partial sequential test;

D O I：

10.1016/S0951-5240(98)00011-1

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Computer vision systems are the most versatile non-contact inspection systems. However, 100% scanning for the inspection of straightness of discrete industrial workpieces is time-consuming. As a result, a critical problem is the determination of the sample size for straightness inspection using computer vision inspection systems, This paper develops the methods to determine the acceptable sample size for estimating the mean line in the straightness inspection. The widest-prediction interval at different degrees of confidence to determine the sample size for estimating the mean line has been studied. The partial sequential test for testing the slope and intercept of the estimated mean line to determine the quality of straightness have also been discussed in this paper. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：135 / 145

页数：11