Journal of the Korean institute of surface engineering (한국표면공학회지)

The Korean Institute of Surface Engineering (한국표면공학회)
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Detection of corrosion on steel plate by using Image Segmentation Method

영상분할법을 이용한 강판상의 부식 감지

  • Kim, Beomsoo (Department of Mechanical System Engineering, Gyeongsang National University) ;
  • Kim, Yeonwon (Division of Marine Mechatronics, Mokpo National Maritime University) ;
  • Yang, Jeonghyeon (Department of Mechanical System Engineering, Gyeongsang National University)
  • 김범수 (경상국립대학교 기계시스템공학과) ;
  • 김연원 (목포해양대학교 메카트로닉스공학부) ;
  • 양정현 (경상국립대학교 기계시스템공학과)
  • Received : 2021.03.24
  • Accepted : 2021.04.27
  • Published : 2021.04.30
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Abstract

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.

Keywords

Acknowledgement

이 연구는 2017년 한국연구재단 생애 첫 연구사업 연구비(2017R1C1B5016191)에 의하여 수행되었으며, 이에 감사를 드립니다.

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