Method for Detecting Gypsophila Defect of Display Screen Based on Human Visual Perception

Abstract

In order to improve the detection accuracy of gypsophila in the display screen, a defect detection model based on human visual perception is proposed. The model uses human visual perception information as the key point of detection. First, the HSV color space is used to obtain the color information in the original image, and it is fused with the mean-constrained RGB gray-scale image to make the grayscale image contain local color information; Taking the grayscale image as the optimization benchmark, adaptively obtain the single-channel image constraint coefficients containing global color information. The single-channel gray map constrained by the transform coefficient is used for defect detection, which improves the accuracy of defect detection. The experimental results show that the average defect detection accuracy and recall rate of the algorithm in this paper are more than 95%. Compared with the traditional detection method, the accuracy rate is improved by more than 50%. The detection method in this paper meets the needs of industrial production.