CPC G06T 7/0012 (2013.01) [G06T 5/40 (2013.01); G06T 7/13 (2017.01); G06T 2207/20084 (2013.01)] | 19 Claims |
1. An image enhancement processing method based on artificial intelligence, comprising:
acquiring an initial image, preprocessing the initial image, and acquiring an original feature image containing a target feature;
performing an edge detection on the original feature image using an edge detection algorithm to obtain an original gradient image, obtaining a statistics ring based on the original feature image, and performing an iterative process on the statistics ring; when the statistics ring intersects with the original gradient image, cropping the original feature image to obtain a to-be-processed image based on an inner diameter of on the statistics ring, and determining to-be-processed parameters of the to-be-processed image:
acquiring a standard image corresponding to the target feature, determining a standard area corresponding to the standard image, and acquiring standard image parameters corresponding to the standard area; performing a migration process on the to-be-processed image according to the to-be-processed parameters and the standard image parameters to obtain a migration image; and
performing a restricted contrast adaptive histogram equalization process on the migration image to obtain a target enhanced image.
|