Image Segmentation Edge Detection Technology Based on Optimization Model

To meet the requirement of realtime and correct edge detection in complicated image segmentation, a speedy edge detection technological know-how based totally on optimization mannequin was once proposed. The optimization mannequin of deep mastering is adopted, the image object is taken as the segmentation unit, the image is divided through pixel, and then the segmentation image is merged based totally on certain rules. A giant wide variety of spots or noise after image segmentation are reduced, and the variety of pixel factors in the incorrect division is reduced It shortens the detection time and improves the detection efficiency, and has sure benefits in contrast with the classical Log, Canny and Pal. King algorithms.