Author(s)

Gege Tian

Corresponding Author

Gege Tian

ABSTRACT

In this paper, the image processing technology is used to remove the interference factors of the original image, and then the time-series image is further processed based on the background difference method and centroid correlation method. The binary image containing only the target crystal can be extracted more accurately, and the two-dimensional centroid coordinates of the target crystal can be calculated. We use the idea of segmentation to divide the silicon dioxide region into several quasi-circular regions, calculate the volume of crystal pixel, estimate the actual volume of crystal according to the ratio of background reference object and image pixel, and then calculate the mass. Later, we get the melting rate through the derivation of mass to time. Finally, we use MATLAB to fit the volume and time of silica, when it is exponential function the fitting degree is the best. The model not only provides guidance for the recovery of iron tailings but also provides ideas for the establishment of a crystal tracking model and melting speed model for tracking melting in the molten pool.

KEYWORDS

Background subtraction; Pixel volume; Melting State