An image processing approach for fatigue crack identification in cellulose acetate replicas

Krzysztof Pałczyński; Jan Seyda; Dariusz Skibicki; Łukasz Pejkowski; Wojciech Macek

doi:10.1016/j.engfailanal.2024.108663

An image processing approach for fatigue crack identification in cellulose acetate replicas

Abstract

The cellulose acetate replication technique is an important method for studying material fatigue. However, extracting accurate information from pictures of cellulose replicas poses challenges because of distortions and numerous artifacts. This paper presents an image processing procedure for effective fatigue crack identification in plastic replicas. The approach employs thresholding, adaptive Gaussian thresholding, and Otsu binarization to convert gray-scale images into binary ones, enhancing crack visibility. Morphological operations refine object shapes, and Connected Components Analysis facilitates crack identification. Despite limited data, the handcrafted feature extraction algorithm proves robust, addressing challenges. The algorithm shows efficacy in detecting cracks as small as 30 μm, even in the presence of cellulose replication artifacts. The results highlight ability to capture significant cracks’ orientation, length, and growth stages, essential for understanding fatigue mechanisms. Analysis of results, especially evaluation metrics encompassing false positives and false negatives, provides a comprehensive understanding of the algorithm’s strengths and limitations. The proposed tool is available on GitHub.

Citations

Authors (5)

Cite as

Full text

full text is not available in portal

full content of the article see on external site open in new tab

Keywords

FATIGUE CRACK DETECTION CELLULOSE ACETATE REPLICAS IMAGE PROCESSING

Details

Category:

Articles

Type:

artykuły w czasopismach

Published in:

ENGINEERING FAILURE ANALYSIS
ISSN: 1350-6307

Language:

English

Publication year:

2024

Bibliographic description:

Pałczyński K., Seyda J., Skibicki D., Pejkowski Ł., Macek W.: An image processing approach for fatigue crack identification in cellulose acetate replicas// ENGINEERING FAILURE ANALYSIS -, (2024),

DOI: