@article{oai:miyazaki-u.repo.nii.ac.jp:00002649,
 author = {吉原, 郁夫 and Yoshihara, Ikuo and 東上床, 武史 and 山森, 一人 and Yamamori, Kunihito and 関根, 誠 and 安永, 守利 and Yasunaga, Moritoshi and Higashiuwatoko, Takeshi and Sekine, Makoto},
 journal = {宮崎大学工学部紀要, Memoirs of Faculty of Engineering, University of Miyazaki},
 month = {Jul},
 note = {Most manufacturers intend to convert visual inspection to discriminate automatically between proper products and improper products containing some extraneous materials, because visual inspection is somewhat time consuming.
This paper proposes a method to judge automatically if a product contains undesirable materials. Firstly, a CCD camera obtains pictures of the product laid on a platform under an LED array. Secondly, the pictures are processed to purge shades and noises for higher discrimination. Lastly, wheather it contains extraneous materials or not is easily judged comparing with a certain threshold value. In case that threshold-base discremination is difficult, more pictures are taken under different lightning conditions and the system judges again.},
 pages = {343--348},
 title = {プラスチック部品の不良品判別の自動化法},
 volume = {41},
 year = {2012},
 yomi = {ヨシハラ, イクオ and ヒガシウワトコ, タケシ and ヤマモリ, クニヒト and セキネ, マコト and ヤスナガ, モリトシ}
}