Image Edge Enhancement Detection Method of Human-Computer Interaction Interface Based on Machine Vision Technology

Aiming at the problems of low detection accuracy and long detection time of existing image edge detection technologies, an image edge detection method of human-computer interaction interface based on machine vision technology is proposed. Based on machine vision technology, the image weight is calculated by iterative repeated weighted least square method, the image is Gaussian filtered by improved Canny algorithm, and the optimal threshold is calculated by iterative method to judge the effective edge. Through comparative experiments, it is proved that the maximum detection accuracy of the man-machine interface image edge enhancement detection method based on machine vision technology proposed in this paper is 100%, the detection time is always kept below 0.2S, and the fastest detection time is 0.1 s, which has wide applicability.