In this paper a system for automatic crack detection is presented. The system is capable of analyzing metal parts by means of a laser excitation system and a thermographic camera. The laser creates thermal gradients inside the part under inspection, and the thermal camera observes how heat diffuses inside the part. Cracks are automatically detected thanks to computer vision algorithms specifically developed for this task, that are capable of measuring and classifying heat profiles. Different algorithms have been developed for rugged and smooth metal parts, since the reaction to laser excitation is rather different. The detection algorithms have been tested on several sequences and showed very good detection performance also with cracks of very small size, having a width of 120 μm.
Automatic Crack Detection in Thermal Images for Metal Parts
GHIDONI, STEFANO;NANNI, LORIS;FERRARI, CARLO;MORO, MICHELE;PAGELLO, ENRICO;MENEGATTI, EMANUELE
2013
Abstract
In this paper a system for automatic crack detection is presented. The system is capable of analyzing metal parts by means of a laser excitation system and a thermographic camera. The laser creates thermal gradients inside the part under inspection, and the thermal camera observes how heat diffuses inside the part. Cracks are automatically detected thanks to computer vision algorithms specifically developed for this task, that are capable of measuring and classifying heat profiles. Different algorithms have been developed for rugged and smooth metal parts, since the reaction to laser excitation is rather different. The detection algorithms have been tested on several sequences and showed very good detection performance also with cracks of very small size, having a width of 120 μm.
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