Image segmentation is an important issue in the field of computer vision.It plays a key role in tasks such as image processing,target detection and image understanding.This article proposes a image segmentation algorithm based on visual significance and maps.This algorithm first uses a visual interpretation model to detect the image of the image,and then uses the diagram method to divide the image based on the test results.The experimental results show that the algorithm has achieved good performance in terms of segmentation accuracy and efficiency,which can be effectively applied to the actual image processing task.
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