A detecting and analyzing method of the alloy wetting property based on computer vision

This paper introduces a detecting and analyzing method of the alloy wetting property based on computer vision, and presents the wetting course under temperature changing. A small alloy sample was placed in a hermetical furnace full of nitrogen, and a CCD camera captured the real-time images of the alloy sample. The obtained image was first threshold to binary image by using maximal squared error threshold method, then the image edge was extracted, finally by using the curve fitting methods, the wetting property parameters were computed at the sub-pixels degree. The testing results have illustrated the used method being effective.