Flaw Detection in Ceramics using Hough transform and Least squares

HONG DONGJIN; CHA，EUI-YOUNG

Journal of The Korea Society of Computer and Information

Abbr : JKSCI
2015, 20(10), pp.23-29
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science

HONG DONGJIN ¹, CHA，EUI-YOUNG ²

¹부산대학교
²부산대학교

ABSTRACT

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 show 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 are 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.
KEYWORDS

Non-destructive testing, Hough transform, Least squares
REFERENCES (7)

[web] / Korea Society for Nondestructive Testing / http://www.kandt.or.kr

[journal] jhkim / 2013 / Various Fault Detection of Ceramic Image using ART2 / Journal of the Korea Institute of Information and Communication Engineering 21(2) : 271~273

[journal] Canny / 1986 / A Computational Approach to Edge Detection / IEEE Transactions on Pattern Analysis and Machine Intelligence 8(3) : 679~698

[book] oh, I.S. / 2014 / IT CookBook, Computer Vision / Hanbit Academy : 145~149

[book] skhwang / 2007 / IT CookBook, Image process programming by Visual C++ / Hanbit Media : 453~456

[journal] A. Charnes / 1976 / The Equivalence of Generalized Least Squares and Maximum Likelihood Estimates in the Exponential Family / Journal of the American Statistical Association 71(353) : 169~171

[thesis] J. Steven / 2006 / The method of least squares / Brown University
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