Abstract
The study on glass defect inspection system is very important to glass industry. It can improve the accuracy of inspection and the quality of product as well as reduce the labor intensity of workers and the enterprise cost. Based on OpenCV Library, an inspection system of glass defects is designed. The Wavelet Transform is used to image preprocessing and the library function is applied to implement image gray, filtering, binarization and contour recognition. The results show that the system realizes high efficient inspection and offers data for the further study.
This is a preview of subscription content, log in via an institution to check access.
References
Huang, Q.K., Zhou, Y.C.: A method based on watershed algorithm for core particles image segmentation. In: 3rd IEEE International Conference on Computer Science and Information Technology, vol. 3. IEEE (2010)
Zhang, Y., Duanquan, X.: Improvement on watershed algorithm of OpenCV and its application in cell image segmentation. J. Comput. Appl. 32(1), 134–136 (2012)
Qin, X., Yu, H., Wen, Z., Qiao, W.: Image segmentation base on OpenCV. Sci. Technol. Inf. 7, 39–41 (2011)
Blayvas, I., Bruckstein, A., Kimmel, R.: Efficient computation of adaptive threshold surfaces for imagine binarization. In: Proceeding of the 2001 IEEE Computer Society Conference Computer Vision and Pattern Recognition (2001)
Liu, Y.: Face inspection system design based on OpenCV. In: Proceedings of the 9th International Symposium on Linear Drives for Industry Applications. Lecture Notes in Electrical Engineering (2013)
Shopa, P., Sumitha, N., Patra, P.S.K.: Traffic sign inspection and recognition using OpenCV. In: 2014 International Conference on Information Communication and Embedded Systems, ICICES (2014)
Liu, Z., Guo, Z., Li, C.: The Study and Realization of glass defect image segmentation. J. Zhongyuan Univ. Technol. 18(7), 26–28 (2007)
Yu, B.-Y., Wang, Z.-B., Jin, Y.: Research on new method of glass-defect inspection, Transducer and Microsystem Technologies 27(1), 183–187 (2008)
Acknowledgement
This research was supported by University Natural Science Foundation of Anhui Province (No. KJ2013B075), Foundation of Anhui Science and Technology University (No. ZRC2013338).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 2.5 International License (http://creativecommons.org/licenses/by-nc/2.5/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Copyright information
© 2016 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Xu, Q., Zhang, H. (2016). Design of Glass Defect Inspection System Based on Wavelet Transform. In: Bian, F., Xie, Y. (eds) Geo-Informatics in Resource Management and Sustainable Ecosystem. GRMSE 2015 2015. Communications in Computer and Information Science, vol 569. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49155-3_25
Download citation
DOI: https://doi.org/10.1007/978-3-662-49155-3_25
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-662-49154-6
Online ISBN: 978-3-662-49155-3
eBook Packages: Computer ScienceComputer Science (R0)