TY - JOUR
T1 - Textural analysis by means of a gray level co-occurrence matrix method. Case
T2 - 1st International Virtual Conference on Mechanical Engineering Trends, MET 2021
AU - Fajardo, Jorge I.
AU - Paltán, César A.
AU - López, Luis M.
AU - Carrasquero, Edwuin J.
N1 - Publisher Copyright:
© 2022 Elsevier Ltd. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Corrosion phenomena are usually difficult to recognize without a deep knowledge of the electrochemical properties of materials, this creates difficulties in the analysis of corrosion in practice, control measures are developed through image processing to solve these problems. This article describes a methodology for the analysis of the inner surface of steam pipelines by means of digital image processing (DIP). A classification algorithm is presented that is able to detect four levels of corrosion on the inner surface of steam pipelines. Gray-level co-occurrence matrix GLCM, which analyzes all the attributes of each image texture was employed. The performance of the classification algorithm was evaluated by using a confusion matrix, which showed very reliable classification results by comparing with experimental tests.
AB - Corrosion phenomena are usually difficult to recognize without a deep knowledge of the electrochemical properties of materials, this creates difficulties in the analysis of corrosion in practice, control measures are developed through image processing to solve these problems. This article describes a methodology for the analysis of the inner surface of steam pipelines by means of digital image processing (DIP). A classification algorithm is presented that is able to detect four levels of corrosion on the inner surface of steam pipelines. Gray-level co-occurrence matrix GLCM, which analyzes all the attributes of each image texture was employed. The performance of the classification algorithm was evaluated by using a confusion matrix, which showed very reliable classification results by comparing with experimental tests.
KW - Corroed pipelines
KW - Corrosion level
KW - Digital image processing
KW - Gray level co-occurrence matrix
UR - http://www.scopus.com/inward/record.url?scp=85123637115&partnerID=8YFLogxK
U2 - 10.1016/j.matpr.2021.07.493
DO - 10.1016/j.matpr.2021.07.493
M3 - Artículo de la conferencia
AN - SCOPUS:85123637115
SN - 2214-7853
VL - 49
SP - 149
EP - 154
JO - Materials Today: Proceedings
JF - Materials Today: Proceedings
Y2 - 24 March 2021 through 26 March 2021
ER -