Managing registration errors in digital printing

Abstract

A method for selecting a region (27) of an image (42) for training a neural network to detect a color registration error, the method including receiving first and second ink images (23, 24) of first and second ink colors, respectively, which are intended to be applied to a substrate (50) for printing the image thereon. A first gradient image (47) is produced based on the first ink image, and a second gradient image (59) is produced based on the second ink image. For at least a given region (28): (i) a level of overlap, between first and second structures appearing in the region (27) in the first and second gradient images, respectively, is calculated, and (ii) the given region (28) is selected for the training in response to finding that the level of overlap in the given region (28) exceeds a predefined threshold.

Dependencies are inferred from the claim text.