Using Image Processing Technology and General Fluid Mechanics Principles to Model Smoke Diffusion in Forest Fires

Zhu, Liying; Wang, Ang; Jin, Fang

doi:10.32604/fdmp.2021.017572

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…In this environment, how to solve the problem of sports injuries is another difficult problem before us. Moreover, clinical sports injury diagnosis often fails to obtain corresponding results in a timely manner, which also causes a great psychological burden to football players [ 11 ]. The current flow of injury diagnosis and treatment used in football is shown in Figure 1 .…”

Section: Image Processing Technology and Football Injury Diagnosismentioning

confidence: 99%

Application of Image Processing Technology in the Diagnosis of Football Injury

2022

Applied Bionics and Biomechanics

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With the hot development of football, sports injuries caused by football have also received special attention. In football games, although there are medical staff on and off the field always on call to protect the safety of players, because of the complexity of diagnosis work, medical staff can easily lead to diagnostic errors due to factors such as fatigue, which seriously affects the condition of athletes. Image processing is a technology that uses computer to process images, which can greatly overcome the uncertain factors brought by manual diagnosis. Based on this, this paper uses image processing technology and pattern recognition as technical means to explore the specific application of image processing in football injury diagnosis. This paper firstly takes football clubs as the main research object and analyzes and explores the specific utility of image segmentation and feature recognition in sports injury image processing. Then, starting from the relevant image features, the paper analyzes and compares the sensitivity of support vector machine pattern recognition and neural network pattern recognition in football injury diagnosis. This article comprehensively summarizes the application of image processing technology in the diagnosis of football injuries and puts forward constructive suggestions for its subsequent development. Experiments show that the effect of pattern recognition is often different for different injury parts of football. Among them, the sensitivity of pattern recognition based on image processing can reach 68.9%, and the detection rate of football injuries can also be maintained at about 81.2%. This fully shows that image processing technology can play an active role in the actual football injury diagnosis, and provide very valuable information for clinical diagnosis.

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Section: Image Processing Technology and Football Injury Diagnosismentioning

confidence: 99%

Application of Image Processing Technology in the Diagnosis of Football Injury

2022

Applied Bionics and Biomechanics

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“…Many algorithms are involved in the process of image filtering, binarization, morphology, and edge detection. Therefore, the main research content of this chapter is to select suitable digital image processing methods and algorithms according to the actual characteristics of aerobics injury diagnosis [ 15 ].…”

Section: Application Of Image Processing Technology In Aerobics Injur...mentioning

confidence: 99%

Application of Image Processing Technology in Aerobics Injury Diagnosis

Zhang

Tian

2022

Emergency Medicine International

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Aerobics sports injury diagnosis is a rapid diagnosis of sports injuries caused by athletes in the process of aerobics training or competition. The purpose of this paper is to use image processing technology to study and analyze the diagnosis of aerobics sports injury, so that the diagnosis results can be obtained more quickly and effectively. This paper first introduces the image processing technology and then analyzes the sports injury in colleges and universities. Firstly, the algorithm formula of image processing technology is given, and then the algorithm is introduced into the dynamic analysis of aerobics injury diagnosis. The two are compared through example analysis. The experimental results show that joint strain, sprains, and muscle strain are the main types of sports injury of College Aerobics students, reaching 59, 50, and 31 times, respectively. When using image processing technology in the diagnosis of sports injury, the diagnosis results can be obtained quickly and effectively.

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“…In the above equation, fa is the scanning frequency of line a, that is, the scanning frequency of the scanning light source [12]. erefore, if the reflected signal of the detected object is not too strong, the scanning speed of the swept OCT system is relatively low, but the reflected signal can be detected [13].…”

Section: Image Processing Technology and Compositementioning

confidence: 99%

Application and Performance Discussion of Fiber-Reinforced Composite Materials in Sports Equipment Based on Image Processing Technology

Liu

2022

Scientific Programming

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Fiber reinforced composites can meet the needs of lightweight, heavy load, long-span, high strength, and modern structures and work under strict conditions. Therefore, it is widely used in various fields. Sports equipment generally cannot meet the requirements of high-strength use, so there is an urgent need for new fiber materials to make these instruments. Aiming at improving the efficiency of measurement and the reliability of measurement results, this paper studies the quantitative characterization method of the microstructure of short fiber reinforced composites. The swept-frequency OCT system is a newly developed high-resolution biomedical imaging system. The method of this paper is to study the performance parameters of swept frequency OCT system, deduce the application of image processing technology in fiber material detection, and then study the detection of residual strength and residual stiffness of composites, so as to obtain a composite material detection method that can be popularized. On this basis, image processing and performance analysis of the composites were carried out, and the composites were tested. And the prospect of application in this field has been analyzed. The experimental results show that better fiber length can be obtained by this method, and the maximum relative error is only 4.5%, thus ensuring the accurate determination of fiber length. Calculations were carried out using the experimental data, and the results showed that the performance of the sports product increased from 15.4% to 48.6% with the graphite-rubber composite. Using this material can improve the comprehensive performance of sports equipment by 2.1%∼4.5%.

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Using Image Processing Technology and General Fluid Mechanics Principles to Model Smoke Diffusion in Forest Fires

Cited by 6 publications

References 16 publications

Application of Image Processing Technology in the Diagnosis of Football Injury

Application of Image Processing Technology in the Diagnosis of Football Injury

Application of Image Processing Technology in Aerobics Injury Diagnosis

Application and Performance Discussion of Fiber-Reinforced Composite Materials in Sports Equipment Based on Image Processing Technology

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