Abstract: A slag volume evaluation method for a molten metal surface includes calculating an approximation curve indicating a correspondence between a thickness of slag and a density parameter in advance by measuring thicknesses of a plurality of pieces of the slag which float on a surface of a molten metal in a container and differ from each other in thickness, and calculating a value of the density parameter which is correlated to a density in a pixel region corresponding to the plurality of pieces of the slag in a captured image of a molten metal surface in the container; and calculating a volume of the slag by calculating and integrating the thickness of the slag for each of pixels constituting the captured image obtained by capturing an image of the molten metal surface which is an evaluation target, according to a value of the density parameter of each of the pixels and the approximation curve.

Abstract: A slag volume evaluation method for a molten metal surface includes calculating an approximation curve indicating a correspondence between a thickness of slag and a density parameter in advance by measuring thicknesses of a plurality of pieces of the slag which float on a surface of a molten metal in a container and differ from each other in thickness, and calculating a value of the density parameter which is correlated to a density in a pixel region corresponding to the plurality of pieces of the slag in a captured image of a molten metal surface in the container; and calculating a volume of the slag by calculating and integrating the thickness of the slag for each of pixels constituting the captured image obtained by capturing an image of the molten metal surface which is an evaluation target, according to a value of the density parameter of each of the pixels and the approximation curve.

Abstract: A method of detecting slag in a molten steel flow includes an image capturing step of sequentially capturing a molten steel flow which is directed from a converter toward a ladle and includes molten steel and slag to acquire a plurality of captured images of the molten steel flow, a histogram creation step of creating a histogram for each captured image, a maximum peak point detection step of detecting a maximum peak point, in which the number of pixels is an absolute maximum value, for each histogram, and a maximum peak point type determination step of determining to which of the slag or the molten steel the maximum peak point of each histogram corresponds.

Abstract: A method of detecting slag in a molten steel flow, includes a histogram creation step of creating a histogram for a captured image of a molten steel flow including molten steel and slag, a maximum peak point detection step of detecting a maximum peak point of the histogram, an intermediate peak point detection step of detecting an intermediate peak point of the histogram, an intermediate peak point counting step of counting the number Nh of intermediate peak points having a density parameter larger than the density parameter at the maximum peak point and the number N1 of intermediate peak points having a density parameter smaller than the density parameter at the maximum peak point, and a maximum peak point type determination step of determining a type of the maximum peak point by a magnitude relationship between the number N1 and the number Nh.