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The main factors of affecting the shooting rate have the shooting angle, the shooting speed and the shooting height. Through image processing technology, we got the accurate basketball motion track. Through research and analysis the motion track with the basic theory of mechanics, we include that the shooting angle and shooting speed are affected by the shooting height when we shoot at the basketball, which provides effective theoretical basis for shooting training. Introduction With the popularity of digital imaging products, digital cameras are used in the various areas of our work and life, and therefore the changes about scientific instruments quickly are penetrating into all walks of life. We take advantage of this technology to turn studying objects into dynamic or static pictures, and then process the picture of the specific pixel in order to get the graphics or equations which are required for the study. Finally, we analyze and discuss the study parameters of the experiment [1]. In this experiment, we use digital cameras to get a full shot video, and turn the video images into a static picture with the help of the MATLAB. We process static image and by means of frame difference to make the image overlay, thus we get the trajectory image from a starting point to the end shot point of the basketball into the basket. In order to obtain a trajectory map, we analyze and calculate the relationship between shot angles and shot speed with basic mechanics theory from one hand shoulder shot technology in the free throw line [2], therefore we provide an effective method and reference for shooting rate. Research Methods Step 1: Place the camera. Experimental study of shooting in the free-throw line facing backboard, the camera sets up in a perpendicular bisector of the ring projection connection point and shoots, and we ensure that the video completely captures the flight trajectory from the leaving hand to go into the basketball hoop . So we find a suitable location to fix the cameras. Step 2:Video capture. We select an athlete who shoots in one hand shoulder shot technology under the free throwing state and the camera shoots continuously. Step 3: Video processing. We make the finished video shooting pass into the computer and divide video into a static picture frame by frame by MATLAB. Step 4: Image Processing. In the completed static image segmentation, we select a group of the static images which have been completely segmented .The process is the moment from the basketball leaving hand to completely the enter the basketball ring and we synthesize basketball trajectory in real-time image by the inter-frame difference method. The basic principle of background subtraction includes that: First, we use the pre-stored or real-time image sequence to obtain statistical background model for each pixel. We get the background model 2017 International Conference on Materials, Energy, Civil Engineering and Computer (MATECC 2017) Copyright © (2017) Francis Academic Press , UK 160 k B .When the image of the current frame k f which contains the moving targets is subtracted from the background model .That is formula (1), where in k D is the subtraction result between the current frame and background model; Next, the calculation results is binarized under a certain limit of threshold value T , as shown in equation (2).It is judged that those pixels which are current large deviation values from the background model are the moving target pixels, which k R contain binaryzation target images. Due to there are differences in gray scale or color between the moving object and the background. After the operation of subtraction and threshold, we will directly get the result which include the target location, size, shape, etc, therefore we obtain the complete target information [3] [4]. ( , ) ( , ) ( , ) k k k D x y f x y B x y   (1) 1, ( , ) ( , ) 0, k k D x y T R x y else      (2) In the paper, we choose the2632th frame shot as a background image, shown in Fig.1.The video fps is 30 frames per second. In order to ensure that the basketball are non-overlapping in synthesize the trajectory chart, we choose the 2634th frame image as the next one, as shown in Fig. 2.We will make the 2632th and 2634th synthesize as a new picture, shown in Fig. 3. We can synthesize the entire group of pictures in the same method, we can get the entire process track from the shot to the basketball into the hoop, shown in Fig. 4. Fig. 1. The 2632th frame Fig. 2. The 2634th frame Fig. 3. The synthesis picture through the 2632th frame and the 2634th frame Fig. 4. Entire basketball real-time flight synthesis trajectory Experiment Results Analysis From the perspective of physics shooting technique, we usually regard basketball as a particle. In the Fig. 4, we can easily find the basketball center and connect each basketball center, so that we get the basketball flight trajectory , as shown in Fig.5. According to the above method, you can get every shot trajectory, and then we establish several trajectories in the same coordinate system for observation and analysis, Fig.6 is repeatedly shooting the basketball trajectories which are basketball's real trajectory.Track1 misses and pop out along the back porch after hitting the basket. Track 2 hits and approximately enter along the rim into the basket. Track 3 hits, and the approximately enter along center of the basket. Track 4 also hits, and approximately along frontier enter into the basket attached to the basket. Track 2,3,4,are almost the same shot, but track 1 leaving hand point is higher than the shot 2,3,4. By the analysis of the four tracks , when the basketball hits, the horizontal movement distance of track 2 is longer than the track 3 and track 4 and three tracks are 16 pictures .Through the same basketball’s movement time, we get the track2’s horizontal velocity is faster than the track 3and track

The applications of image processing technology in the analysis of the factors of shooting rate