허프 변환과 최소제곱법을 이용한 세라믹 영상에서의 결함 검출

다국어 초록 (Multilingual 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.

참고문헌 (Reference)

1 jhkim, "Various Fault Detection of Ceramic Image using ART2" 21 (21): 271-273, 2013

2 J. Steven, "The method of least squares" Brown University 2006

3 A. Charnes, "The Equivalence of Generalized Least Squares and Maximum Likelihood Estimates in the Exponential Family" 71 (71): 169-171, 1976

4 "Korea Society for Nondestructive Testing"

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

6 oh, I.S., "IT CookBook, Computer Vision" Hanbit Academy 145-149, 2014

7 Canny, "A Computational Approach to Edge Detection" 8 (8): 679-698, 1986