An improved image acquisition method for measuring hot forgings using machine vision
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- 作者：Yang Liu LY-SME@mail.dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Zhenyuan Jia Jzyxy@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Wei Liu ; Lw2007@dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Lingli Wang 21304079@mail.dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chaonan Fan fanchaonan4226@mail.dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Pengtao Xu 836880115@qq.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Jinghao Yang eeycn@mail.dlut.edu.cn" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Kai Zhao kdlut@163.com" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Machine vision ; Dimensional measurement ; Image acquisition ; Hot forging ; Image quality evaluation
- 刊名：Sensors and Actuators A: Physical
- 出版年：2016
- 出版时间：1 February 2016
- 年：2016
- 卷：238
- 期：Complete
- 页码：369-378
- 全文大小：2317 K
文摘
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An image evaluation model based on the SNR of the ROI is proposed.
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An image quality compensation method for image acquisition in different temperature is proposed.
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The image quality of hot forgings at high temperatures are significantly improved.
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Experiments are performed both in a laboratory and a forging workshop.