Image reconstruction based on tuning depth focus by PZT

Yen Chung Wang, Po Hsun Wu, Guo Hao Lu, Pi Ying Cheng, Jing Feng Weng, Chun Jen Weng

    研究成果: Conference contribution同行評審

    摘要

    In the non-contact optical measurement techniques, the depth of field limits the range of the measurement. If the step height sample is out of the depth of field, and it will cause the measurement to fail. In this study, the proposed integration framework integrates the movement of PZT (piezoelectric transducer) stage and the algorithm of the multiple-height image fusion. It can precisely define the height discontinuity of the step height sample which is out of the depth of field. In detail, the lead zirconate titanate actuator, namely PZT actuator, moves a fixed distance with 1 m. And then, the camera captures one sheet of the 2D image. The working distance of PZT is 800 m. After repeating the cycle of PZT and the camera with 800 times, the 800 sheets of the 2D image are obtained. The algorithm of the multiple-height image fusion enables the 800 sheets of the 2D image to become the one of 3D reconstruction image with the noise. Finally, the filtering algorithm is used to remove the noise in the 3D reconstruction image. In the experiment system with the depth of field 100 m, the accuracy of the step height sample with 200 m is about 1 m (i.e. 0.5%).

    原文English
    主出版物標題25th Opto-Electronics and Communications Conference, OECC 2020
    發行者Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子)9781728154459
    DOIs
    出版狀態Published - 4 十月 2020
    事件25th Opto-Electronics and Communications Conference, OECC 2020 - Taipei, Taiwan
    持續時間: 4 十月 20208 十月 2020

    出版系列

    名字25th Opto-Electronics and Communications Conference, OECC 2020

    Conference

    Conference25th Opto-Electronics and Communications Conference, OECC 2020
    國家/地區Taiwan
    城市Taipei
    期間4/10/208/10/20

    指紋

    深入研究「Image reconstruction based on tuning depth focus by PZT」主題。共同形成了獨特的指紋。

    引用此