This study mainly focuses on the traditional Itti visual attention calculation model, introduces edge feature information, and optimizes the visual attention calculation model. In the process of introducing edge feature information, this study improves the Canny edge detection algorithm: replace the Gaussian filter with an improved bilateral filtering algorithm to better maintain the edge, use the Sobel operator to calculate the gradient magnitude from four directions instead of two directions in the original method, the improved OTSU algorithm is used to select the double threshold instead of manually setting the threshold, thus reducing false detection and missed detection during image segmentation. In the experiment, we found that the proposed method is much better than the Itti visual attention calculation model based on the ordinary Canny algorithm.