Advanced SearchSearch Tips
Flaw Detection in Ceramics using Hough transform and Least squares
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Flaw Detection in Ceramics using Hough transform and Least squares
Hong, Dong-Jin; Cha, Eui-Young;
  PDF(new window)
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.
Non-destructive testing;Hough transform;Least squares;
 Cited by
Korea Society for Nondestructive Testing,

jhkim, mshan, ywwoo and gbkim, "Various Fault Detection of Ceramic Image using ART2," Journal of the Korea Institute of Information and Communication Engineering, Vol. 21, No. 2, pp. 271-273, July 2013.

Canny and John, "A Computational Approach to Edge Detection," IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 8, No. 3, pp. 679-698, Nov. 1986.

isoh., "IT CookBook, Computer Vision" Hanbit Academy, pp.145-149, 2014.

skhwang., "IT CookBook, Image process programming by Visual C++" Hanbit Media, pp.453-456, 2007.

A. Charnes, E. L. Frome and P. L. Yu, "The Equivalence of Generalized Least Squares and Maximum Likelihood Estimates in the Exponential Family," Journal of the American Statistical Association, Vol. 71, No. 353, pp. 169-171, Nov. 1976. crossref(new window)

J. Steven, "The method of least squares," Mathematics Department Brown University, pp. 1-7, 2006.