Oct, 31, 2024

Vol.57 No.5

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  • KISE Journal of Korean Institute of Surface Engineering
  • Volume 55(3); 2022
  • Article

Review

KISE Journal of Korean Institute of Surface Engineering 2022;55(3):164-172. Published online: Jul, 12, 2022

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DOI : 10.5695/JSSE.2022.55.3.164

Corrosion image analysis on galvanized steel by using superpixel DBSCAN clustering algorithm

  • Beomsoo Kima, Yeonwon Kimb, Kyunghwang Leec, Jeonghyeon Yanga*
    aDepartment of Mechanical System Engineering, Gyeongsang National University, Tongyeong, 53064, Korea bDivision of Mechatronics Engineering, Mokpo National Maritime University, Mokpo, 58628, Korea cSteel Solution R&D Center, POSCO, Inchen, 21985, Kore
Abstract

Hot-dip galvanized steel(GI) is widely used throughout the industry as a corrosion resistance material. Corrosion of steel is a common phenomenon that results in the gradual degradation under various environmental conditions. Corrosion monitoring is to tr

Keywords Corrosion; Superpixel; DBSCAN; k-means clustering; HSV color space.