부산대학교 도서관

The role of object detection and segmentation in image processing is very important, but there is a problem that the processing results cannot meet expectations. Traditional recognition methods cannot solve the problem of object detection and segmentation in image processing, and the recognition results are not reasonable. Therefore, this paper proposes a deep learning for professional object detection and segmentation analysis. First, artificial intelligence is used to process and analyze the image, and the indicators are divided according to the requirements of target detection and segmentation to reduce them Interference factors in object detection and segmentation. Then, the artificial intelligence results of object detection and segmentation in image processing to form a target detection and segmentation scheme and pair Comprehensive analysis of object detection and segmentation results. MATLAB simulation shows that under the condition of certain evaluation criteria, deep learning can detect and segment the object of image processing The rationality of object detection and segmentation is better than that of traditional recognition methods.