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Mathematical morphology image processing and reconstruction technology application in sprint competition video processing

机译:数学形态学图像处理与重构技术在短跑比赛视频处理中的应用

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In the fierce sprint competition videos, it contains lots of kinematics data, these data has very important significances in researching on athletes??? sports rules, however how to extract lots of data from videos is a big puzzle. The paper appliesmathematicalmorphology-basedmetallographic image edge detection algorithm into sprint competition videos, extracts lots of valuable kinematics data. Firstly, the paper introducesmathematical morphology basic theories, and then researches on edge detecting relative theories, finally combineswithmathematicalmorphology and edge detection relative knowledge to apply into sprint competition videos, extracts data fromcompetition videos,which builds data basis for researching 100meters running kinematics rules.
机译:在激烈的短跑比赛录像中,它包含大量的运动学数据,这些数据对运动员的研究具有非常重要的意义。运动规则,但是如何从视频中提取大量数据却是一个大难题。本文将基于数学形态学的金相图像边缘检测算法应用于短跑比赛录像中,提取了大量有价值的运动学数据。本文首先介绍了数学形态学的基础理论,然后对边缘检测的相关理论进行了研究,最后将数学形态学和边缘检测的相关知识相结合,应用于短跑比赛录像中,从比赛录像中提取数据,为研究百米运行运动学规则奠定了数据基础。

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