Oct, 31, 2024

Vol.57 No.5

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  • KISE Journal of Korean Institute of Surface Engineering
  • Volume 54(5); 2021
  • Article

Review

KISE Journal of Korean Institute of Surface Engineering 2021;54(5):278-284. Published online: Jan, 3, 2022

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DOI : 10.5695/JKISE.2021.54.5.278

Corrosion Image Monitoring of steel plate by using k-means clustering

  • Beomsoo Kima, Jaesung Kwona, Sungwoong Choia, Jungpil Nohb, Kyunghwang Leec, Jeonghyeon Yanga*
    aDepartment of Mechanical System Engineering, Gyeongsang National University, Tongyeong, Gyeongnam, 53064, Korea bDepartment of Energy Mechanical Engineering, Gyeongsang National University, Tongyeong, Gyeongnam, 53064, Korea cSteel Solution R&D C
Abstract

Corrosion of steel plate is common phenomenon which results in the gradual destruction caused by a wide variety of environments. Corrosion monitoring is the tracking of the degradation progress for a long period of time. Corrosion on steel plate appears a

Keywords Corrosion, GrabCut Segmentation, Gaussian Mixture Model, HSV color space, k-means clustering