한국표면공학회지 (54권2호 84-89)
Detection of corrosion on steel plate by using Image Segmentation Method
영상분할법을 이용한 강판상의 부식 감지
김범수a, 김연원b, 양정현a*
Beomsoo Kima, Yeonwon Kimb, Jeonghyeon Yanga*
a경상국립대학교 기계시스템공학부, b목포해양대학교 메카트로닉스공학과
aDepartment of Mechanical System Engineering, Gyeongsang National University, Tongyeong, Gyeongnam, 53064, Korea bDivision of Marine Mechatronics, Mokpo National Maritime University, Mokpo, 58628, Korea
The visual inspection method is widely used for corrosion damage analysis of steel plate due to the cost-efficient, fast and reasonably accurate results. However, visual inspection of corrosion deteriorated degree has a problem that the reliability of results differs depending on the inspector’s individual knowledge and experience. In this study, we evaluated the degree of corrosion from a given image by using image segmentation method based on the grabcut and HSV(Hue, Saturation, Value) color image processing techniques for the development of an automatic inspection tool. The code written in Python based OpenCV-python libraries was used to categorize the images.
Image Segmentation, Grabcut, HSV color
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