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作 者:田治国[1] 林敏勇[1] TIAN Zhiguo;LIN Minyong(Department of Health Care,Zhangzhou Health Vocational College,Zhangzhou 363000,China)
机构地区:[1]漳州卫生职业学院健康与保健系,福建漳州363000
出 处:《商丘师范学院学报》2022年第3期19-23,共5页Journal of Shangqiu Normal University
基 金:福建省中青年教师教育科研课题“基于供给侧改革的医学高职院校‘医体结合’体育教学改革研究”(JZ180830)。
摘 要:传统的太极拳发力动作图像模糊特征识别方法识别准确率低,信息完整度差.为了解决上述问题,研究了一种新的特征识别方法.研究的太极拳发力动作图像模糊特征识别方法,首先对太极拳发力动作图像进行初步获取,不断提升对数据信息的基础理解程度,完善系统初步处理性能,并对收集的图像数据进行预处理操作.利用相应的图像矩阵对数据进行图像转移与置换操作,加强系统数据转换与理论性研究,强化系统对奇异性特征向量的提取,延长数据操作链,进一步对图像模糊特征识别进行阈值与识别规则的选择,最终选择相应的识别操作缩减识别所需时间,提升系统操作效率,降低无关因素干扰率,获得准确率较高的识别结果.实验结果表明,相较于传统方法,给出的方法能够在一定程度上实现对系统的理论性改造,提升其数据识别能力,避免操作浪费,为后续实验提供更加优质的研究服务.Traditional Taijiquan action image fuzzy feature recognition method has low recognition accuracy and poor information integrity.In order to solve the above problems, a new feature recognition method is studied.The research on the fuzzy feature recognition method of Taijiquan’s action images firstly, the preliminary acquisition of Taijiquan’s action images is to initially acquire the basic understanding of data information, improve the preliminary processing performance of the system, and preprocess the collected image data Operations, use the corresponding image matrix to perform image transfer and replacement operations on the data, strengthen system data conversion and theoretical research, strengthen the system’s extraction of singular feature vectors, extend the data operation chain, and further perform threshold and recognition on image fuzzy feature recognition The selection of rules, the selection of appropriate parameters for experimental research, and finally the selection of corresponding identification operations reduce the time required for identification, improve system operation efficiency, reduce the interference rate of irrelevant factors, and obtain identification results with higher accuracy.The experimental results show that, compared with traditional research, the method given can achieve a theoretical transformation of the system to a certain extent, improve its data recognition ability, avoid operational waste, and provide better research services for subsequent experiments.
分 类 号:TP391.41[自动化与计算机技术—计算机应用技术]
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