TY - GEN
T1 - Correlation of Laser Speckle Image with Metal Surface Changes due to Corrosion Process
AU - Nirwana, Feby
AU - Prajitno, Prawito
AU - Wijaya, Sastra Kusuma
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/10
Y1 - 2019/10
N2 - When a surface is illuminated by a laser beam, a speckle pattern will appear in the form of dark and bright spots which are randomly distributed according to the surface roughness. Hence, surface deformation will produce a different speckle pattern. This study aims to see the correlation of surface deformation with changes in speckle pattern, so that it can qualitatively estimate metal resistance and observe surface characteristics due to corrosion process. The metal used were iron and carbon steel which were immersed in 0.1 M HNO3 acid solution. Every 10 minutes period, speckle images were captured using a CMOS camera and processed using 2-D Coefficient Correlation method and Feature Extraction of GLCM. The results showed a correlation between corroded metal and speckle pattern with precision rate of 2-D Coefficient Correlation was not less than 97.3% and 91.1% for GLCM Method. Analysis of 2-D Coefficient Correlation can be used to estimate that carbon steel was more resistant than iron. Meanwhile, the GLCM contrast and homogeneity features can be used to represent changing metal surface characteristics, but it was difficult to estimate metal resistance since the type of corrosion occurred in this study was different for each type of metal.
AB - When a surface is illuminated by a laser beam, a speckle pattern will appear in the form of dark and bright spots which are randomly distributed according to the surface roughness. Hence, surface deformation will produce a different speckle pattern. This study aims to see the correlation of surface deformation with changes in speckle pattern, so that it can qualitatively estimate metal resistance and observe surface characteristics due to corrosion process. The metal used were iron and carbon steel which were immersed in 0.1 M HNO3 acid solution. Every 10 minutes period, speckle images were captured using a CMOS camera and processed using 2-D Coefficient Correlation method and Feature Extraction of GLCM. The results showed a correlation between corroded metal and speckle pattern with precision rate of 2-D Coefficient Correlation was not less than 97.3% and 91.1% for GLCM Method. Analysis of 2-D Coefficient Correlation can be used to estimate that carbon steel was more resistant than iron. Meanwhile, the GLCM contrast and homogeneity features can be used to represent changing metal surface characteristics, but it was difficult to estimate metal resistance since the type of corrosion occurred in this study was different for each type of metal.
KW - 2-D Coefficient Correlation
KW - corrosion
KW - image processing
KW - laser speckle
UR - http://www.scopus.com/inward/record.url?scp=85084748821&partnerID=8YFLogxK
U2 - 10.1109/ICEEIE47180.2019.8981433
DO - 10.1109/ICEEIE47180.2019.8981433
M3 - Conference contribution
AN - SCOPUS:85084748821
T3 - ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering: Emerging Innovative Technology for Sustainable Future
SP - 244
EP - 249
BT - ICEEIE 2019 - International Conference on Electrical, Electronics and Information Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Conference on Electrical, Electronics and Information Engineering, ICEEIE 2019
Y2 - 3 October 2019 through 4 October 2019
ER -
