1 July 2008 Real-time vision-based defect inspection for high-speed steel products
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Optical Engineering, 47(7), 077204 (2008). doi:10.1117/1.2957958
Abstract
In the steel-making industry, both the quality and quantity of the products are critical. This work presents a real-time defect detection method for high-speed steel bar in coil (BIC). For good performance characteristics, the detection algorithm must be robust to problems associated with the cylindrical shape of BICs, the presence of noise and nonuniform brightness distribution of images, the various types of defects, and so on. Furthermore, because the target speed is very high, it should have a fast processing time. Therefore, a defect detection algorithm should satisfy the two conflicting requirements of reducing the processing time and improving the efficiency of defect detection. This work proposes an effective real-time defect detection algorithm that can satisfy these conditions. Moreover, to reduce cost, the proposed algorithm is implemented on a PC-based real-time defect detection system without a professional digital signal processing (DSP) board. Experimental results show that the proposed algorithm guarantees both real-time processing and accurate detection.
Jong Pil Yun, SungHoo Choi, Boyeul Seo, Sang Woo Kim, "Real-time vision-based defect inspection for high-speed steel products," Optical Engineering 47(7), 077204 (1 July 2008). http://dx.doi.org/10.1117/1.2957958
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KEYWORDS
Defect detection

Image segmentation

Detection and tracking algorithms

Image filtering

Digital filtering

Defect inspection

Gaussian filters

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