The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Defect Detection in Ceramic Images Using Sigma Edge Information and Contour Tracking Method
Open accessAbstract
In this paper, we suggest a method of detecting defects by applying Hough transform and least squares on ceramic images obtained from non-destructive testing. In the ceramic images obtained from non-destructive testing, the background area, where the defect does not exist, commonly shows gradual change of luminosity in vertical direction. In order to extract the background area which is going to be used in the detection of defects, Hough transform is performed to rotate the ceramic image in a way that the direction of overall luminosity change lies in the vertical direction as much as possible. Least squares is then applied on the rotated image to approximate the contrast value of the background area. The extracted background area is used for extracting defects from the ceramic images. In this paper we applied this method on ceramic images acquired from non-destructive testing. It was confirmed that extracted background area could be effectively applied for searching the section where the defect exists and detecting the defect.
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“In contrast, the minimum number of images for traditional image processing approaches is much less, of the order of about 10-100 [82,83].”
From Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection (2021) · cites this paper as [82]
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Cites
Improved Canny Edge Detector in Ceramic Tiles Defect Detection
Hocenski, Ž., Vasilic, S., & Hocenski, V. (2006) · Proceedings of the Annual Conference of the IEEE Industrial Electronics Society · doi:10.1109/iecon.2006.347535 · Cited by 68
The Edge Detecting Methods in Ceramic Tiles Defects Detection
Vasilic, S., & Hocenski, Ž. (2006) · IEEE International Symposium on Industrial Electronics (ISIE) · doi:10.1109/isie.2006.295640 · Cited by 35
Flaw Detection in Ceramics using Sigma Fuzzy Binarization and Gaussian Filtering Method
Kim, K.-B., Song, D. H., & Lee, W. J. (2014) · International Journal of Multimedia and Ubiquitous Engineering · doi:10.14257/ijmue.2014.9.1.37 · Cited by 8
Self-citationNoise Reduction by Filter Improvement in Mixed Noise Image
Lim, J., & Kim, E.-K. (2013) · Journal of the Institute of Electronics and Information Engineers · doi:10.5573/ieek.2013.50.5.231 · Cited by 4
Research works printed but not linked: 3
- Y.W. Woo and K.B. Kim, "Detection of Flaws in Ceramics Materials Using Non-destructive Test", Journal of Korean Information Communications Society, vol. 5, no. 3, pp. 321-326, 2010.
- S.W. Hwang, K.B. Kim, Y.W. Woo, "Fault Detection of Ceramic Imaging Using Nondestructive Testing", Korea Electronic and Communication Sciences papers, vol. 7, no. 2, pp. 409, 2013.
- BIOGRAPHIES OF AUTHORS Kwang-Baek Kim received his M.S. and the Ph.D. degrees in Department of Computer Science from Pusan National University, Busan, Korea, in 1993 and 1999, respectively. From 1997 to present, he is a professor, Department of Computer Engineering, and Silla University in Korea. He is currently an associate editor for Journal of The Korea Society of Computer and Information, and The Open Artificial Intelligence Journal (USA). His research interests include fuzzy neural network and application, bioinformatics and image processing.
Cited by
Sorted by citations
Automated Defect Detection and Decision-Support in Gas Turbine Blade Inspection
Aust, J., Shankland, S., Pons, D., Mukundan, R., & Mitrovic, A. (2021) · Aerospace · doi:10.3390/aerospace8020030 · Cited by 66
Metadata
- Authors
- Kim, K.-B., & Woo, Y. W.
- Affiliations
- Dong-Eui University (KR)
- Corresponding author
- Woo, Young Woon
- ORCID
- Kim, Kwang-Baek
- Venue
- International Journal of Electrical and Computer Engineering (IJECE)
- Published
- 2016-02-01
- Volume
- 6
- Issue
- 1
- Pages
- 160
- ISSN
- 2088-8708 (ISSN-L)
- OpenAlex
- W2161204805
- Cited by
- 5
- References
- 4
- Citations by year
- 2024: 1 · 2022: 1 · 2021: 1 · 2019: 1 · 2018: 1
- FWCI
- 0.45
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- International Journal of Electrical and Computer Engineering (IJECE) (publishedVersion, cc-by-nc-nd)
- International Journal of Electrical and Computer Engineering (IJECE) (publishedVersion, cc-by-nc)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Image and Object Detection Techniques
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Keywords
- defect detection, Hough transform, least squares, background extraction, contour tracking, non-destructive testing, image rotation
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- Kim, K.-B., & Woo, Y. W. (2016). Defect Detection in Ceramic Images Using Sigma Edge Information and Contour Tracking Method. International Journal of Electrical and Computer Engineering (IJECE). https://doi.org/10.11591/ijece.v6i1.pp160-166
