[ Papers ]

Journal of the Korean Society of Manufacturing Technology Engineers - Vol. 27, No. 6, pp.557-563

ISSN: 2508-5093 (Print) 2508-5107 (Online)

Print publication date 15 Dec 2018

Received 13 Nov 2018 Revised 27 Nov 2018 Accepted 28 Nov 2018

DOI: https://doi.org/10.7735/ksmte.2018.27.6.557

적외선 열화상을 이용한 부품소재 결함의 정량적 평가 방법

강형선^a ; 김창현^b ; 조영태^c^{, *}

Quantitative Evaluation Method of Material Defects in Component Parts Using Infrared Thermal Imaging

Hyung-Sun Kang^a ; Chang-Hyun Kim^b ; Young-tae Cho^c^{, *}

aDepartment of Mechanical Design, Chosun College of Science & Tech., 309-1, Pilmun-daero, Dong-gu, Gwangju 61453, Korea
bMedical 21 Century Co. Ltd., 32, Jungga-ro, Buk-gu, Gwangju 61246, Korea
cDepartment of Basic Science, School of Engineering, Jeonju University, 303, Cheonjam-ro, Wansan-gu, Jeonju, Jeonbuk-do, 55069, Korea

Correspondence to: ^*Tel.: +82-63-220-2981 Fax: +82-63-220-2056 E-mail address: choyt@jj.ac.kr (Young-tae Cho).

Abstract

To evaluate quantitative defects in component parts using infrared imaging and image processing as preceding steps, minimizing the number of image errors that can occur during thermal imaging is necessary. To minimize image errors, we determined that correcting the slope error of the image was critical. To accomplish this, the slope rules for the vertical and horizontal axes of the infrared deterioration phase were respectively corrected. Here, the noise present in the image was determined to be an irrational factor in the quantitative evaluation. To remove this noise, image filtering was required and a median filter was applied. The size of the defect in the binary image was measured through a series of steps. The results of the quantitative defect evaluation for correcting the distortion of the slope were compared with the evaluation before the correction.

Keywords:

Quantitatively evaluate, Infrared thermography, Image processing, Image error, Binary image, Slope rule

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