Patent Document ID: 9665796
Application ID: 14451013
Patent Status: 1

Claim One:
1. A method for determining if a first image and a second image are correlated images, the method comprising: partitioning a first image displayed on a first training simulator into a plurality of corresponding pixel partitions, the first image comprising a plurality of pixels and each of the plurality of pixel partitions comprising a predetermined number of pixels; partitioning a second image displayed on a second training simulator into a plurality of corresponding pixel partitions, the second image comprising a plurality of pixels and each of the plurality of pixel partitions comprising a predetermined number of pixels, wherein the first training simulator and the second training simulator are connected to a local area network (LAN); calculating an average luminance value for each of the plurality of pixel partitions of the first image displayed on a first training simulator; calculating an average luminance value for each of the plurality of pixel partitions of the second image displayed on a second training simulator; determining if each of the plurality of pixel partitions of the first image displayed on a first training simulator is correlated with each of the corresponding plurality of pixel partitions of the second image displayed on a second training simulator; calculating percentage of correlated pixel partitions of the plurality of pixel partitions of the first image displayed on a first training simulator and the corresponding plurality of pixel partitions of the second image displayed on a second training simulator; and determining that the first image displayed on a first training simulator and the second image displayed on a second training simulator are correlated images if the percentage of correlated pixel partitions exceeds a predetermined pixel partition correlation threshold.