Due to the complexity of digital imaging targets and imaging conditions, fractal theory techniques in existing digital imaging systems still have various shortcomings. In this paper, a digital imaging processing method based on fractal theory is proposed for the first time. For X-ray images, the rapid calculation method of H-parameters is derived based on the fractional Brownian random field model. The H-parameters of X-ray images are calculated point by point. After that, all the singular points are connected, which is the edge of the defect in the image. We apply this method to analyze and process the X-ray images with defects such as missing joints, skins and hollows. Secondly, by means of fractal geometry, the contour slice measurement of the digital imaging space of this fractal is studied. The approximate index value is the digital imaging section profile dimension (D1 dimension) and the section shadow dimension (D2 dimension), so that the dimension determines the complexity of the form and detail of digital imaging. Finally, it can be seen from the experimental results that this method is effective and explores a new way for the development of digital imaging technology. At the same time, it is of great significance to the automatic pattern recognition of the application.

This paper focuses on the design of badminton robots, and designs high-precision binocular stereo vision synchronous acquisition system hardware and multithreaded acquisition programs to ensure the left and right camera exposure synchronization and timely reading of data. Aiming at specific weak moving targets, a shape-based Brown motion model based on dynamic threshold adjustment based on singular value decomposition is proposed, and a discriminative threshold is set according to the similarity between the background and the foreground to improve detection accuracy. The three-dimensional trajectory points are extended by Kalman filter and the kinematics equation of badminton is established. The parameters of the kinematics equation of badminton are solved by the method of least squares. Based on the fractal Brownian motion algorithm, a real-time robot pose estimation algorithm is proposed to realize the real-time accurate pose estimation of the robot. A PID control model for the badminton robot executive mechanism is established between the omnidirectional wheel speed and the robot’s translation and rotation movements to achieve the precise movement of the badminton robot. All the algorithms can meet the system’s requirements for real-time performance, realize the badminton robot’s simple hit to the ball, and prospect the future research direction.

Objective: To improve the efficiency and accuracy of the diagnosis and treatment of sports knee ligament strain, the application value of computerized tomography (CT) three-dimensional (3D) imaging technology in the diagnosis and treatment of sports knee ligament strain is studied. Methods: This study proposes a method for CT 3D image reconstruction based on the model clustering algorithm. First, the knee joint CT images of research objects are preprocessed. Second, based on the preprocessing, the healthy adult male knee ligament distribution structure map is used as a reference model. The model clustering segmentation algorithm proposed in this study is used for detailed segmentation, and the results are input into Materialise’s interactive medical control system (Mimics) software. According to the process, the 3D CT reconstructed images are derived. Finally, the 3D reconstruction results of knee ligament CT are optimized by using Geomagic Studio 2012 software. The application of 3D CT images and magnetic resonance imaging (MRI) images obtained by the algorithm in this study in the diagnosis and treatment of knee ligament strains are compared. Results: The CT 3D image reconstruction method based on the model clustering algorithm proposed in this study can clearly show the ligament structure of the knee joint. The optimized CT 3D image has a smoother surface and a clearer display, which is more conducive for observing the knee joint ligament structure more clearly. The comparative experiments have found that the diagnostic accuracy of 3D CT images is 95%, and the diagnostic accuracy of MRI images is 85%. The diagnostic accuracy of the 3D reconstructed images proposed in this study is significantly higher than that of MRI images, and the difference is statistically significant (P < 0.05). Conclusion: The proposed algorithm has an excellent effect on the 3D reconstruction of CT images. Also, it has high efficiency and accuracy in the diagnosis and treatment of sports knee ligament strains.

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Fitness promotion has been recognized as a part of Chinese national strategic plan. Community sports fitness activities play an important role in the urban community sports of the country. However, homogeneity of participants, monotonous ways of participation, poor exercise effects, and lack of organization and guidance still hinder the publicization of urban community sports. At the same time, the effect of sports activities in urban communities to promote the harmonious construction and effective governance of urban communities has not been fully explored. Therefore, warranted is a study on the influence of sports culture on community harmonious relationship in urban community fitness activities. Prior to the study, IRB approval was obtained from the Hubei University of Economy. A total of 654 individuals were recruited from 43 urban communities of five cities in China. A 7-scale Likert questionnaire were developed to measure the variables under study, including group willingness, group norm, group identity, relationship quality, and sports culture perception. Reliability and validity of the measurement constructs were acceptable. Partial Least Square -Structural Equation Models were used to analyze the data, and path coefficients of the variables were calculated to test the hypotheses. Results revealed three patterns. First, sports culture had a positive effect on promoting community fitness activities. Second, sports culture can be further understood in four subcategories: material sports culture, behavior sports culture, institution sports culture and spirit sports culture. Third, compared with group norms, group identity has a more important impact on the relationship quality and collective will of urban community members.