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http://dx.doi.org/10.5573/ieek.2013.50.9.194

Multi-scale Crack Detection Using Scaling  

Kim, Young-Ro (Dept. of Computer Science and Information, Myongji College)
Oh, Tae-Myung (Dept. of Computer and Electronic Engineering, Myongji College)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.50, no.9, 2013 , pp. 194-200 More about this Journal
Abstract
In this paper, we propose a multi-scale crack detection method using scaling. It is based on morphology algorithm, crack features, and scaling. We use a morphology operator which extracts patterns of crack. It segments cracks and background using opening and closing operations. Morphology based segmentation is better than existing integration methods using subtraction in detecting a crack it has small width. However, morphology methods using only one structure element could detect only fixed width crack. Thus, we use a scaling method. We use bilinear interpolation for scaling. Our method calculates values of properties such as the number of pixels and the maximum length of the segmented region. We decide whether the segmented region belongs to cracks according to those data. Experimental results show that our proposed multi-scale crack detection method has better results than those of existing detection methods.
Keywords
Multi-scale; crack detection; morphology; shape properties;
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Times Cited By KSCI : 1  (Citation Analysis)
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