A computer vision based machine learning approach for fatigue crack initiation sites recognition

Volume: 171, Pages: 109259 - 109259
Published: Jan 1, 2020
Abstract
Fatigue crack initiation sites (FCISs) are crucial for fatigue investigations in metallic compounds, since they are closely related to the fatigue failure mechanisms and inform methods against crack initiation. However, the identification of FCISs requires professional knowledge and can be demanding and time consuming. Computer vision techniques show excellent performance for image texture recognition tasks and have been applied to some material...
Paper Details
Title
A computer vision based machine learning approach for fatigue crack initiation sites recognition
Published Date
Jan 1, 2020
Volume
171
Pages
109259 - 109259
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