There are many processes in PCB production. In order to facilitate management and problem tracing, PCB monitoring is required in each production process. The production process of PCB is very different from that of common products. Barcode, QR code or electronic label can be pasted on common products, but not on PCB. Because corrosive chemical solution is used in many PCB production processes. In order to solve this problem, a coding method based on relative coordinates and a graphic decoding method combining Hough transform and projection transformation are proposed. This method takes into account that the most commonly used NC drilling machine in PCB manufacturing enterprises. The graphic coding method uses the relative coordinates of holes drilled on the PCB. The relative coordinates of the holes centers represent the encoding information. The image decoding method uses the Hough transform and the projection transformation. First, the captured image is transformed by Hough transform, and the center coordinates of the image are detected. Secondly, the image is projective transformed by the centers of the most lateral four holes as the feature points. The distortion image is transformed into a regular image. Then, the image decoding is realized by calculating the relative coordinates of the centers. The practicability of the method and the correctness of the algorithm are verified by experiments. This method has been used in the PCB production line of an enterprise.
| Published in | Mathematics and Computer Science (Volume 5, Issue 1) |
| DOI | 10.11648/j.mcs.20200501.12 |
| Page(s) | 10-13 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2020. Published by Science Publishing Group |
Image Coding and Decoding, Hough Transformation, Projection Transform, Image Recognition
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APA Style
Xu Weijian, Lai Lianyou. (2020). Graphic Coding and Decoding Methods Using Relative Coordinates. Mathematics and Computer Science, 5(1), 10-13. https://doi.org/10.11648/j.mcs.20200501.12
ACS Style
Xu Weijian; Lai Lianyou. Graphic Coding and Decoding Methods Using Relative Coordinates. Math. Comput. Sci. 2020, 5(1), 10-13. doi: 10.11648/j.mcs.20200501.12
AMA Style
Xu Weijian, Lai Lianyou. Graphic Coding and Decoding Methods Using Relative Coordinates. Math Comput Sci. 2020;5(1):10-13. doi: 10.11648/j.mcs.20200501.12
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Download@article{10.11648/j.mcs.20200501.12,
author = {Xu Weijian and Lai Lianyou},
title = {Graphic Coding and Decoding Methods Using Relative Coordinates},
journal = {Mathematics and Computer Science},
volume = {5},
number = {1},
pages = {10-13},
doi = {10.11648/j.mcs.20200501.12},
url = {https://doi.org/10.11648/j.mcs.20200501.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.mcs.20200501.12},
abstract = {There are many processes in PCB production. In order to facilitate management and problem tracing, PCB monitoring is required in each production process. The production process of PCB is very different from that of common products. Barcode, QR code or electronic label can be pasted on common products, but not on PCB. Because corrosive chemical solution is used in many PCB production processes. In order to solve this problem, a coding method based on relative coordinates and a graphic decoding method combining Hough transform and projection transformation are proposed. This method takes into account that the most commonly used NC drilling machine in PCB manufacturing enterprises. The graphic coding method uses the relative coordinates of holes drilled on the PCB. The relative coordinates of the holes centers represent the encoding information. The image decoding method uses the Hough transform and the projection transformation. First, the captured image is transformed by Hough transform, and the center coordinates of the image are detected. Secondly, the image is projective transformed by the centers of the most lateral four holes as the feature points. The distortion image is transformed into a regular image. Then, the image decoding is realized by calculating the relative coordinates of the centers. The practicability of the method and the correctness of the algorithm are verified by experiments. This method has been used in the PCB production line of an enterprise.},
year = {2020}
}
TY - JOUR T1 - Graphic Coding and Decoding Methods Using Relative Coordinates AU - Xu Weijian AU - Lai Lianyou Y1 - 2020/01/31 PY - 2020 N1 - https://doi.org/10.11648/j.mcs.20200501.12 DO - 10.11648/j.mcs.20200501.12 T2 - Mathematics and Computer Science JF - Mathematics and Computer Science JO - Mathematics and Computer Science SP - 10 EP - 13 PB - Science Publishing Group SN - 2575-6028 UR - https://doi.org/10.11648/j.mcs.20200501.12 AB - There are many processes in PCB production. In order to facilitate management and problem tracing, PCB monitoring is required in each production process. The production process of PCB is very different from that of common products. Barcode, QR code or electronic label can be pasted on common products, but not on PCB. Because corrosive chemical solution is used in many PCB production processes. In order to solve this problem, a coding method based on relative coordinates and a graphic decoding method combining Hough transform and projection transformation are proposed. This method takes into account that the most commonly used NC drilling machine in PCB manufacturing enterprises. The graphic coding method uses the relative coordinates of holes drilled on the PCB. The relative coordinates of the holes centers represent the encoding information. The image decoding method uses the Hough transform and the projection transformation. First, the captured image is transformed by Hough transform, and the center coordinates of the image are detected. Secondly, the image is projective transformed by the centers of the most lateral four holes as the feature points. The distortion image is transformed into a regular image. Then, the image decoding is realized by calculating the relative coordinates of the centers. The practicability of the method and the correctness of the algorithm are verified by experiments. This method has been used in the PCB production line of an enterprise. VL - 5 IS - 1 ER -
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