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作 者:芦宏亮[1] 王惠[1] 刘智鑫[1] LU Hongliang;WANG Hui;LIU Zhixin(Xiamen University Tan Kah Kee College,Fujian Xiamen 363105,China)
出 处:《激光杂志》2021年第3期135-139,共5页Laser Journal
基 金:福建省自然科学基金(No.2017J01128);国家体育总局体育科学研究所基本科研业务费资助项目(No.19-41);教育部人文社会科学研究一般项目(No.19YJA890008);福建省中青年教师教育科研项目(No.JAS160769)。
摘 要:为了提高体操动作指导的有效性,结合图像处理方法进行体操运动图像特征分析,提出基于光纹特征的体操动作模糊图像恢复方法。建立体操动作模糊图像的边缘轮廓特征检测模型,结合光学特征分析方法进行体操动作模糊图像的关键动作特征点提取,处理体操动作模糊图像的滤波,得到体操动作模糊图像的自带像素特征点。对体操动作模糊图像进行增强处理,通过点跟踪识别方法进行体操动作模糊图像的显著对比度增强,提取体操动作模糊图像的光纹特征,实现体操动作模糊图像自动恢复和优化识别。仿真结果表明,采用该方法进行体操动作模糊图像恢复的输出峰值信噪比较高,图像的识别能力较好,识别精度都在0.8左右,识别时间在80 s以内,提高了体操动作模糊图像的检测和识别能力。This paper proposes the restoration of gymnastics movement fuzzy image method based on the characteristics of light texture by using the image-processing method to analyze gymnastics'characteristics movement-image to improve gymnastics'effectiveness movement guidance.This paper establishes the edge-contour feature detection model of the fuzzy image of gymnastic action,extracts the critical action feature points of the fuzzy image of gymnastic action with the optical feature analysis method,processes the filtering of the fuzzy image of gymnastic action,and obtains the self-contained pixel feature points of the fuzzy image of gymnastic action.In this paper,the fuzzy image of gymnastic action is enhanced,the significant contrast of the fuzzy image of gymnastic action is enhanced by the method of point tracking recognition,and the light texture feature of the fuzzy image of gymnastic action is extracted to realize the automatic restoration and optimal recognition of the fuzzy image of gymnastic action.The simulation results show that the output peak signal-to-noise ratio is high,the recognition ability is good,the recognition accuracy is about 0.8,the recognition time is less than 80 s,and the detection and recognition ability of the fuzzy image of gymnastics action is improved.
关 键 词:光纹特征 体操动作模糊图像 恢复方法 边缘轮廓特征 滤波处理
分 类 号:TN249[电子电信—物理电子学]
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