Textural analysis by means of a gray level co-occurrence matrix method. Case: Corrosion in steam piping systems

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Abstract

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.

Original languageEnglish
Pages (from-to)149-154
Number of pages6
JournalMaterials Today: Proceedings
Volume49
DOIs
StatePublished - 2022
Event1st International Virtual Conference on Mechanical Engineering Trends, MET 2021 - Virtual, Online, Ecuador
Duration: 24 Mar 202126 Mar 2021

Bibliographical note

Publisher Copyright:
© 2022 Elsevier Ltd. All rights reserved.

Keywords

  • Corroed pipelines
  • Corrosion level
  • Digital image processing
  • Gray level co-occurrence matrix

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