A Method for Identifying the Contour of Tennis Players'Serve Technique Movements Based on Depth Mask
The traditional image segmentation method for tennis players'serve techniques is not accurate enough in extracting the contour of serve movements,resulting in low image segmentation accuracy.Therefore,a depth mask based image segmentation method for tennis players'serve techniques is proposed.Firstly,input the image of the tennis player's serving technique that needs to be paired,generate a pseudo label,use the label with shape prior information as an auxiliary mask,annotate the image,use a depth mask,and based on the annotation re-sults of the technical action image,perform threshold segmentation on the tennis player's serving action target with complete contour,and extract the contour of the serving action.Use the Canny edge support method,and Construct an edge matrix of the contour to form a segmented image of the tennis player's serve technique move-ments.The experimental results show that the designed method in this paper achieves a segmentation accuracy of 97.61%for the image of tennis players'serve technique movements,and can achieve high accuracy in image seg-mentation of tennis players'serve technique movements.The application effect is good.