Automated visual fault inspection of optical elements using machine vision technologies

Author:

Lin Hong-Dar,Chen Hsing-Lun

Publisher

Centre for Evaluation in Education and Science (CEON/CEES)

Subject

Mechanical Engineering,General Engineering,Safety, Risk, Reliability and Quality,Transportation,Renewable Energy, Sustainability and the Environment,Civil and Structural Engineering

Reference20 articles.

1. Lin, H.D.,Chiu, Y.P.,Lin, W.T. (2013). An innovative approach for detection of slight surface variations on capacitor chips.International Journal of Innovative Computing Information and Control, 9(5), 1835-1850.;

2. Chiu, Y.P.,Lo, Y.C.,Lin, H.D. (2017). Hough transform based approach for surface distortion fl aw detection on transparent glass.International Journal of Applied Engineering Research, 12(19), 8150-8159.;

3. Lin, H.D.,Chiu, Y.P. (2010).RBF network and EPC method applied to automated process regulations for passive components dicing.International Journal of Innovative Computing Information and Control, 6(11), 5077-5091.;

4. Lin, H.D.,Hsieh, K.S. (2018). Detection of surface variations on curved mirrors of vehicles using slight deviation control techniques.International Journal of Innovative Computing Information and Control, 14(4), 1407-1421.;

5. Chiu, Y.P.,Lin, H.D. (2018).Creation of image models for inspecting visual fl aws on capacitive touch screens.Journal of Applied Engineering Science, 16(3), 333-342.;

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