A Contrast Adjustment Thresholding Method for Surface Defect Detection Based on Mesoscopy
Open accessAbstract
Titanium-coated surfaces are prone to tiny defects such as very small cracks, which are not easily observable by the naked eye or optical microscopy. In this study, two new thresholding methods, namely contrast-adjusted Otsu's method and contrast-adjusted median-based Otsu's method, are proposed for automated defect detection system for titanium-coated aluminum surfaces. The two proposed methods were compared with four existing thresholding techniques in terms of accuracy and speed of defect detections for images of 700, 900, and 1000 dpi obtained using high-resolution scanning. Experimental results have shown that the proposed contrast-adjusting methods have performance similar to minimum error thresholding (MET) and are generally better than Otsu's method.
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Otsu is a classical adaptive threshold method for separating defects from the background in flat steel images, obtaining a threshold value based on the characteristic of the large variance between the background and foreground.
“Otsu is a classical adaptive threshold method for separating defects from the background in flat steel images [59, 69, 70], which obtains a threshold value based on the characteristic of the large variance between the background and foreground.”
From Automated Visual Defect Classification for Flat Steel Surface: A Survey (2020) · cites this paper as [70]
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- Authors
- Win, M., Bushroa, A. R., Hassan, M. A., Hilman, N. M., & Ide-Ektessabi, A.
- Affiliations
- University of Malaya (MY)
- ORCID
- Hassan, M. A.
- Venue
- IEEE Transactions on Industrial Informatics
- Published
- 2015-06
- Volume
- 11
- Issue
- 3
- Pages
- 642-649
- ISSN
- 1551-3203 (ISSN-L)
- 1941-0050
- OpenAlex
- W1986306729
- Cited by
- 142
- References
- 23
- Citations by year
- 2026: 8 · 2025: 12 · 2024: 17 · 2023: 21 · 2022: 19 · 2021: 14 · 2020: 13 · 2019: 11 · 2018: 13 · 2017: 7 · 2016: 4 · 2015: 3
- FWCI
- 15.78
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- IEEE Transactions on Industrial Informatics (publishedVersion)
- Funders
- Ministry of Higher Education with High Impact Research (UM.C/625/1/HIR/MOHE/ENG/27)
- Japan International Cooperation Agency
- AUN/SEED-Net Collaborative Research with Industry (PG116-2013A, RP017-2012A)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Industrial Vision Systems and Defect Detection
- Physical Sciences › Engineering › Mechanical Engineering › Non-Destructive Testing Techniques
- Physical Sciences › Engineering › Media Technology › Image Processing Techniques and Applications
- Keywords
- surface defect detection, contrast adjustment, thresholding, Otsu thresholding, titanium coatings, aluminum surfaces, crack detection, automated inspection
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