Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Image Processing for the Detection and Analysis of Microcracks Caused by Fatigue in Steel

Version 1 : Received: 4 October 2023 / Approved: 6 October 2023 / Online: 6 October 2023 (11:43:52 CEST)

How to cite: Castro-Egler, C.; Garcia-Gonzalez, A.; Cruces, A.S.; Lopez-Crespo, P. Image Processing for the Detection and Analysis of Microcracks Caused by Fatigue in Steel. Preprints 2023, 2023100341. https://doi.org/10.20944/preprints202310.0341.v1 Castro-Egler, C.; Garcia-Gonzalez, A.; Cruces, A.S.; Lopez-Crespo, P. Image Processing for the Detection and Analysis of Microcracks Caused by Fatigue in Steel. Preprints 2023, 2023100341. https://doi.org/10.20944/preprints202310.0341.v1

Abstract

This article presents a method that uses a semi-automatic algorithm for the detection and analysis of microcracks in steel test specimens using binarized image analysis. It obtains the length along the crack path in contrast to previous methods that have obtained linear length, thereby achieving a closer approximation to its actual value. Additionally, this method automatically calculates the COD and COA parameters with measurement deviations in micrometres, thus providing greater precision than previous methods proposed to date.

Keywords

automatic; algorithm; COD; COA; microcrack; binarization; segmentation

Subject

Engineering, Mechanical Engineering

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