Authors: Chuen-Horng Lin; Chih-Chin Wen; Jr-Wei Chen
Addresses: Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, No. 129, Sec. 3, Sanmin Rd., Taichung, Taiwan ' Mechatronics Section, Metal Industries Research and Development Centre, 1001 Kaohsiung Highway, Kaohsiung, 811, Taiwan ' Department of Computer Science and Information Engineering, National Taichung University of Science and Technology, No. 129, Sec. 3, Sanmin Rd., Taichung, Taiwan
Abstract: This paper proposes a method for the automatic alignment and locating the position. This paper proposes methods for the alignment and location on two types of fiducial marks (FM) images. FM images of the first type include light-emitting diode (LED) wafer images, liquid crystal display (LCD) images and hand-held electronic device (HED) images. FM images of the second type include LCD cross images and LED square cross images. This paper proposes the artificial measurement method and the mechanical measurement method in order to make mechanical positioning-related decisions. To validate the properties and the robustness of the proposed methods. The results achieved by the proposed matching, alignment methods are compared with those achieved by manual image matching in order to evaluate the accuracy and performance of the alignment methods. Computer image processing skills, appropriate charge coupled device (CCD) equipment, quantity, image capture technology and glazing mode are used to develop high speed, precision and stability automatic positioning technology in this paper.
Keywords: fiducial mark; RFMs; reference fiducial marks; multiple fiducial marks; alignment; location; artificial measurement; mechanical measurement.
International Journal of Mechatronics and Manufacturing Systems, 2020 Vol.13 No.2, pp.125 - 152
Received: 26 May 2019
Accepted: 19 Feb 2020
Published online: 16 Sep 2020 *