Abstract: A commodity identification device is provided with: one or more processing devices; and one or more storage devices storing instructions for causing the one or more processing devices to: obtain a taken image; determine whether a commodity is provided with a corresponding mark or not by using a mark detector on the obtained taken image; identify which of a plurality of commodity groups a commodity provided with the mark belongs to by using a first neural network having learned the commodity, on the taken image where the mark is detected; and identify the commodity by using a second neural network having performed learning for each of the commodity groups.

Abstract: A commodity identification device is provided with: one or more processing devices; and one or more storage devices storing instructions for causing the one or more processing devices to: obtain a taken image; determine whether a commodity is provided with a corresponding mark or not by using a mark detector on the obtained taken image; identify which of a plurality of commodity groups a commodity provided with the mark belongs to by using a first neural network having learned the commodity on the taken image where the mark is detected; and identify the commodity by using a second neural network having performed learning for each of the commodity groups.

Abstract: Converting lightness of each pixel even for images having continuous lightness includes: setting a local area around a pixel for which lightness is converted, in the original image; setting an upper limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output upper limit of lightness conversion; setting a lower limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output lower limit of lightness conversion; calculating upper and lower limit values (upper and lower limit conversion function of lightness of the pixel to be converted); calculating a ratio for setting a value between the upper limit value and the lower limit value according to lightness of each pixel in the local area; and calculating converted lightness of a pixel for which the lightness is converted based on the upper limit value, the lower limit value and the ratio.

Abstract: Converting lightness of each pixel even for images having continuous lightness includes: setting a local area around a pixel for which lightness is converted, in the original image; setting an upper limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output upper limit of lightness conversion; setting a lower limit conversion function which continuously monotonically increases with respect to the lightness, and determines an output lower limit of lightness conversion; calculating upper and lower limit values (upper and lower limit conversion function of lightness of the pixel to be converted); calculating a ratio for setting a value between the upper limit value and the lower limit value according to lightness of each pixel in the local area; and calculating converted lightness of a pixel for which the lightness is converted based on the upper limit value, the lower limit value and the ratio.

Abstract: In an image processing technology, an original image is inputted by accepting an input of an original image to be image-processed; a local area is set, with a pixel of which brightness is to be converted being a center of the local area, from the original image; a local histogram relating to brightness of the local area is calculated; a local cumulative histogram is calculated by accumulating the local histogram; first and second monotone increasing functions are determined, respectively, corresponding to cumulative frequency values in first and second classes of the local cumulative histogram; first and second weighting functions are determined, respectively, corresponding to the first and second monotone increasing functions; a conversion function relating to brightness of the pixel is produced from the first monotone increasing function weighted by the first weighting function and the second monotone increasing function weighted by the second weighting function; and the brightness of the pixel is then conv

Abstract: In an image processing technology, an original image is inputted by accepting an input of an original image to be image-processed; a local area is set, with a pixel of which brightness is to be converted being a center of the local area, from the original image; a local histogram relating to brightness of the local area is calculated; a local cumulative histogram is calculated by accumulating the local histogram; first and second monotone increasing functions are determined, respectively, corresponding to cumulative frequency values in first and second classes of the local cumulative histogram; first and second weighting functions are determined, respectively, corresponding to the first and second monotone increasing functions; a conversion function relating to brightness of the pixel is produced from the first monotone increasing function weighted by the first weighting function and the second monotone increasing function weighted by the second weighting function; and the brightness of the pixel is then conv