• Acta Photonica Sinica
  • Vol. 51, Issue 3, 0310004 (2022)
Cheng YANG, Zhao WANG, Junhui HUANG, and Chao XING*
Author Affiliations
  • Institute of New Energy Equipment and Quality Engineering,School of Mechanical Engineering,Xi'an Jiaotong University,Xi'an 710072,China
  • show less
    DOI: 10.3788/gzxb20225103.0310004 Cite this Article
    Cheng YANG, Zhao WANG, Junhui HUANG, Chao XING. Random Speckle Projection Image Acquisition Method for Coarse-grained Reflective Surface[J]. Acta Photonica Sinica, 2022, 51(3): 0310004 Copy Citation Text show less
    References

    [1] A EBAYYEH, A MOUSAVI. A review and analysis of automatic optical inspection and quality monitoring methods in electronics industry. IEEE Access, 8, 183192-183271(2020).

    [2] Zhonghe REN, Fengzhou FANG, Ning YAN et al. State of the art in defect detection based on machine vision. International Journal of Precision Engineering and Manufacturing-Green Technology, 9, 661-691(2022).

    [3] M SONKA, V HLAVAC, R BOYLE. Image processing, analysis, and machine vision(2014).

    [4] Zhou ZENG, Lizhuang MA, Zuoyong ZHENG. Automated extraction of PCB components based on specularity using layered illumination. Journal of Intelligent Manufacturing, 22, 919-932(2011).

    [5] Guangjie XIONG, Zhixian ZHANG, Jingjing LU et al. AOI multi-color illuminator control system based on Freescale MCU. Computer Engineering and Design, 35, 1823-1826(2014).

    [6] Ziqi YANG, Liming XU, Bin XIE et al. Light source optimization of surface defect detection of brake master cylinder pistons. Journal of Shanghai Jiaotong University, 48, 64-68(2014).

    [7] D KANG, Y J JANG, S WON. Development of an inspection system for planar steel surface using multispectral photometric stereo. Optical Engineering, 52, 9701(2013).

    [8] Fusheng YANG, HO Chaoching, Liangchia CHEN. Automated optical inspection system for O-ring based on photometric stereo and machine vision. Applied Sciences, 11, 2601(2021).

    [9] S LEE, J H JO, J S KIM et al. Detection system for sub-micrometer defects of a photo-mask using on-axis interference between reflected and scattered lights. Journal of the Optical Society of Korea, 17, 73-80(2013).

    [10] Yan LIU, Feihong YU. Automatic inspection system of surface defects on optical IR-CUT filter based on machine vision. Optics and Lasers in Engineering, 55, 243-257(2014).

    [11] Ming CHANG, Bocheng CHEN, J L GABAYNO et al. Development of an optical inspection platform for surface defect detection in touch panel glass. International Journal of Optomechatronics, 10, 63-72(2016).

    [12] Z XIANG, J ZHANG, M QIAN et al. Metal stamping character image fusion algorithm based on multi-directional illumination. Journal of Computer-Aided Design and Computer Graphics, 30, 1637-1642(2018).

    [13] C K CHENG, H Y TSAI. Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01800-4

    [14] Tan WANG, Leilei WANG, Weiguo ZHANG et al. Design of infrared target system with Zhang Zhengyou calibration method. Optics and Precision Engineering, 27, 1828-1835(2019).

    [15] N A RIZA, N ASHRAF. Calibration-based minimalistic multi-exposure digital sensor camera robust linear high dynamic range enhancement technique demonstration. Optics Communications, 486, 126789(2021).

    [16] Hao WANG, Ye ZHANG, Honghai SHEN et al. Review of image enhancement algorithms. Chinese Optics, 10, 438-448(2017).

    Cheng YANG, Zhao WANG, Junhui HUANG, Chao XING. Random Speckle Projection Image Acquisition Method for Coarse-grained Reflective Surface[J]. Acta Photonica Sinica, 2022, 51(3): 0310004
    Download Citation