The invention belongs to the technical field of display panel quality detection, and particularly relates to a display screen abnormal point detection method based on
image processing, which comprises the following steps: capturing a self-luminous physical channel image of a display screen in real time through a polarization filtering array, and meanwhile, generating a
virtual channel image by adopting a pre-trained ambient light shielding GAN network; pixel-level differential operation is carried out on the two-channel image to eliminate ambient light
noise, and an illumination invariance correction image is output; the corrected image is input into a
pyramid feature
distillation network PFD to extract cross-scale defect features, the
pyramid feature
distillation network PFD comprises a three-level feature
processing flow path, the angle of a light-transmitting axis is dynamically calibrated through a polarization filtering array to capture intrinsic
radiation of a screen, a
virtual channel is generated in combination with ambient light shielding, pixel-level difference and
morphological filtering are executed, and the cross-scale defect features are obtained. The environment light
noise suppression rate and the
dark spot detection rate are improved, and the problems of the micro-defect omission rate and the high-reflection-area
false alarm rate caused by illumination fluctuation of a
production line in a traditional gray threshold value method are solved.