CPC G06N 3/084 (2013.01) [G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06T 5/001 (2013.01); G06T 5/20 (2013.01); G06V 10/451 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); G06F 2218/00 (2023.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01)] | 15 Claims |
1. A processor-implemented method of generating feature data, the method comprising:
receiving an input image;
generating N binary images from the input image, wherein N is the number of bits per pixel of the input image, wherein N is an integer equal to or greater than 2; and
generating, using at least one neural network, feature data corresponding to the input image from the N binary images,
wherein the generating N binary images from the input image comprises:
generating each of the N binary images for each bit value level from a highest bit to a lowest bit of the binary bit values of a pixel value of the input image.
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