RETRACTED ARTICLE: Visual communication of moving images based on AI recognition and light sensing image edge detection algorithm

With the rapid advancements in information technology and communicationtechnology, the utilization of moving image visual communication has becomewidespread across various domains. In this context, optical sensing technology playsa pivotal role due to its remarkable attributes including high speed, vast capacity,and minimal delay. Thus, this research aims to enhance the optical sensing effectand edge detection accuracy in moving image visual communication by leveraging AIrecognition and an optical sensing image edge detection algorithm. For this purpose,an AI recognition algorithm is implemented to train the model to identify theobjects present in the moving images, enabling the localization of target objectswithin the optical sensing images. Consequently, the edge information of the targetobject is extracted from the photosensing image by employing an edge detectionalgorithm. Subsequently, the edge information of the optical sensing image undergoesprocessing and optimization to enhance the accuracy of edge detection. Throughexperimental results, it is demonstrated that the proposed approach, whichintegrates AI recognition and an optical sensor image edge detection algorithm,effectively identifies and localizes target objects within the optical sensor image,consequently improving the accuracy of edge detection outcomes. Furthermore, incomparison to conventional methods, the proposed methodology exhibits superiorperformance in optical image edge detection.