Scenic area roaming is achieved through panoramic roaming technology, which is limited by the quality of image stitching. Therefore, to improve the authenticity of scenic area roaming and promote the development of the tourism industry, a panoramic image stitching technology based on ray vectors and nonlinear fusion algorithms was proposed. The study first used ray vectors to decouple feature points from lens distortion, to solve the problem of feature point selection in fisheye images and ensure the accuracy of image registration. Then, the optimal suture line algorithm was improved through nonlinear weighted fusion algorithm to eliminate the seam seam. The experimental results showed that in the 140˚ fisheye image, the number of inners for the fast library for approximate nearest neighbors-random sample consensus, channel attention and feature slicing description, and random sample consensus algorithm were 1348, 1763, and 1101, respectively, with inlier rates of 9.6%, 10.3%, and 9.1%. The number of inners and inner rate of the raised algorithm were 2802 and 25.2%, respectively, which are higher than other algorithms. The average root mean square errors of the fast library for approximate nearest neighbors-random sample consensus, channel attention and feature slicing description, and random sample consensus algorithm were 12.2, 11.3, and 17.9, respectively. The average root mean square error of the proposed algorithm was 10.0, which is lower than other algorithms. In addition, the average peak signal-to-noise ratio and structural similarity index of the proposed algorithm were 27.6 and 0.87, respectively, which are higher than other algorithms. The above results indicate that the panoramic image stitching technology proposed in the study can achieve high-quality stitching and natural transition of fisheye images. This method can not only provide tourists with good virtual reality roaming experience and promote the development of tourism, but also has great significance to improve the splicing quality of panoramic splicing and enhance the application value of panoramic image.
Li et al. (Sat,) studied this question.