| CPC G06V 10/255 (2022.01) [G06K 7/1413 (2013.01); G06K 7/1417 (2013.01); G06T 1/005 (2013.01); G06V 10/507 (2022.01); G06T 2201/0065 (2013.01)] | 21 Claims |

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1. An image processing method of distinguishing content items from a conveyor belt comprising:
for an M×N pixel block within an image frame representing the conveyor belt and content items, where both M and N are positive integers, identifying a portion of the M×N pixel block, and dividing the portion into a plurality of sub-blocks;
for each sub-block of the plurality of sub-blocks;
determining an average or mean pixel value representing the each sub-block, said determining yielding a determined average or mean pixel value;
applying a statistical classifier to the determined average or mean pixel value to classify the each sub-block as representing either the conveyor belt or a content item, wherein the statistical classifier is based on a classifier determined from analysis of multiple image frames representing the conveyor belt; and
determining whether the M×N pixel block should be provided to a detector for encoded signal detection, based on whether a majority of the plurality of sub-blocks are classified as representing content items; and
providing the M×N pixel block to the detector based on a result of said determining whether the M×N pixel block should be provided to the detector for encoded signal detection.
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