@inproceedings{0de39806bc204bcea063d4ad0311e657,
title = "An Economical High Precision Machine Vision System and Its Performance Test Using Ceramic Substrate",
abstract = "Machine vision technology has developed rapidly due to the improvement of computer industry, however its applications haven{\textquoteright}t been widely used in industry because of the high price of the main devices. This paper proposed an economical machine vision dimension measurement system consisting of a low-cost machine vision camera and light source. A typical application of this system is to measure the sizes of ceramic substrates. The influence caused by the hardware were analyzed, and the calibration algorithms were developed to improve the measurement precision. The random noise and dark noise were reduced, and a uniform algorithm was developed to calibrate the pixel gray values of image background. Experimental results showed that the maximum error of measured length was within 2 μm for the measuring range of 70 mm, which could meet the precision requirement of practical applications. The proposed system can achieve high measurement precision using low-cost machine vision camera and light source.",
author = "Zhen Cai and Huawei Qin and Shiwei Liu and Jiwan Han",
year = "2018",
month = oct,
day = "5",
doi = "10.1007/978-3-030-00214-5_121",
language = "English",
isbn = "978-3030002138",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Nature",
pages = "985--993",
editor = "Kevin Deng and Zhengtao Yu and Srikanta Patnaik and John Wang",
booktitle = "Recent Developments in Mechatronics and Intelligent Robotics:",
address = "Switzerland",
note = "Proceedings of the International Conference on Mechatronics and Intelligent Robotics, ICMIR2018 ; Conference date: 19-05-2018 Through 20-05-2018",
}