Design of Virtual Display System for Digital Museum Based on Edge Detection Algorithm

Under the rapid development of virtual reality, the display of many products has been transformed from the traditional physical display to a combination of physical and virtual displays, thus enabling users to better understand the products. In this process, the role of consumers in the display of goods is also increasing. Especially for certain works of art that require display effect, the display effect will directly affect the artistic value of the work. The system can realize the display of virtual products to a greater extent. But when facing the art works, it does not show the details very well, so the display effect is not good enough. Edge extraction of images is a very effective method in many fields such as computer vision, pattern recognition and remote sensing. Edge extraction refers to the extraction of the region of the image with sudden changes in brightness, which is the edge of the target, which contains most of the features in the image and is the basis for image analysis. The edge detection algorithm can make the details of the art work more perfect. The experimental results prove that the correct rate of image segmentation based on Canny edge detection algorithm is in the range of 70% to 80%. The correct rate of image segmentation based on Laplacian operator fluctuates around 70%. The correct rate of image segmentation based on Roberts operator is 70% up and down. It can be clearly seen that the correct rate of image segmentation based on Sobel operator is the highest, which is conducive to the visual experience of the virtual display design of the digital museum.