IEICE TRANSACTIONS on Information
A Visual Inspection System Based on Trinarized Broad-Edge and Gray-Scale Hybrid Matching
Summary :
In the field of industrial manufacturing, visual pattern inspection is an important task to prevent the inclusion of incorrect parts. There have been demands for such methods able to handle factors caused by positional and rotational alignment, and illumination changes. In this paper, we propose a discrimination method called Trinarized broad-edge and Gray-scale Hybrid Matching (TGHM). The method is highly reliable due to gray-scale cross correlation which has a high pattern discrimination efficiency, with high-speed position and rotation alignment using the characteristics of trinarized broad-edge representation which has high data compressibility and illumination-resistant variability. In an example in which the method is applied to mis-collation inspection equipment of a bookbinding machine, it is confirmed that the processing speed is 24,000 sheets/hour, the error detection rate is 100.0%, and the mis-alarm rate is less than 0.002%, and it is verified that the method is practical.
- Publication
- IEICE TRANSACTIONS on Information Vol.E89-D No.7 pp.2068-2075
- Publication Date
- 2006/07/01
- Publicized
- Online ISSN
- 1745-1361
- DOI
- 10.1093/ietisy/e89-d.7.2068
- Type of Manuscript
- Special Section PAPER (Special Section on Machine Vision Applications)
- Category
- Image Inspection
Authors
Keyword
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Haruhisa OKUDA, Manabu HASHIMOTO, Miwako HIROOKA, Kazuhiko SUMI, "A Visual Inspection System Based on Trinarized Broad-Edge and Gray-Scale Hybrid Matching" in IEICE TRANSACTIONS on Information,
vol. E89-D, no. 7, pp. 2068-2075, July 2006, doi: 10.1093/ietisy/e89-d.7.2068.
Abstract: In the field of industrial manufacturing, visual pattern inspection is an important task to prevent the inclusion of incorrect parts. There have been demands for such methods able to handle factors caused by positional and rotational alignment, and illumination changes. In this paper, we propose a discrimination method called Trinarized broad-edge and Gray-scale Hybrid Matching (TGHM). The method is highly reliable due to gray-scale cross correlation which has a high pattern discrimination efficiency, with high-speed position and rotation alignment using the characteristics of trinarized broad-edge representation which has high data compressibility and illumination-resistant variability. In an example in which the method is applied to mis-collation inspection equipment of a bookbinding machine, it is confirmed that the processing speed is 24,000 sheets/hour, the error detection rate is 100.0%, and the mis-alarm rate is less than 0.002%, and it is verified that the method is practical.
URL: https://global.ieice.org/en_transactions/information/10.1093/ietisy/e89-d.7.2068/_p
Copy
@ARTICLE{e89-d_7_2068,
author={Haruhisa OKUDA, Manabu HASHIMOTO, Miwako HIROOKA, Kazuhiko SUMI, },
journal={IEICE TRANSACTIONS on Information},
title={A Visual Inspection System Based on Trinarized Broad-Edge and Gray-Scale Hybrid Matching},
year={2006},
volume={E89-D},
number={7},
pages={2068-2075},
abstract={In the field of industrial manufacturing, visual pattern inspection is an important task to prevent the inclusion of incorrect parts. There have been demands for such methods able to handle factors caused by positional and rotational alignment, and illumination changes. In this paper, we propose a discrimination method called Trinarized broad-edge and Gray-scale Hybrid Matching (TGHM). The method is highly reliable due to gray-scale cross correlation which has a high pattern discrimination efficiency, with high-speed position and rotation alignment using the characteristics of trinarized broad-edge representation which has high data compressibility and illumination-resistant variability. In an example in which the method is applied to mis-collation inspection equipment of a bookbinding machine, it is confirmed that the processing speed is 24,000 sheets/hour, the error detection rate is 100.0%, and the mis-alarm rate is less than 0.002%, and it is verified that the method is practical.},
keywords={},
doi={10.1093/ietisy/e89-d.7.2068},
ISSN={1745-1361},
month={July},}
Copy
TY - JOUR
TI - A Visual Inspection System Based on Trinarized Broad-Edge and Gray-Scale Hybrid Matching
T2 - IEICE TRANSACTIONS on Information
SP - 2068
EP - 2075
AU - Haruhisa OKUDA
AU - Manabu HASHIMOTO
AU - Miwako HIROOKA
AU - Kazuhiko SUMI
PY - 2006
DO - 10.1093/ietisy/e89-d.7.2068
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E89-D
IS - 7
JA - IEICE TRANSACTIONS on Information
Y1 - July 2006
AB - In the field of industrial manufacturing, visual pattern inspection is an important task to prevent the inclusion of incorrect parts. There have been demands for such methods able to handle factors caused by positional and rotational alignment, and illumination changes. In this paper, we propose a discrimination method called Trinarized broad-edge and Gray-scale Hybrid Matching (TGHM). The method is highly reliable due to gray-scale cross correlation which has a high pattern discrimination efficiency, with high-speed position and rotation alignment using the characteristics of trinarized broad-edge representation which has high data compressibility and illumination-resistant variability. In an example in which the method is applied to mis-collation inspection equipment of a bookbinding machine, it is confirmed that the processing speed is 24,000 sheets/hour, the error detection rate is 100.0%, and the mis-alarm rate is less than 0.002%, and it is verified that the method is practical.
ER -
English
