摘要
采用目前方法对体育专项辅助跳远器械的磨损程度进行检测时,获取的器械磨损表面图像的质量较差,导致方法存在图像清晰度低和检测精度低的问题。提出体育专项辅助跳远器械磨损程度检测方法,采用傅里叶变换方法和滤波法在时间序列理论的基础上获取体育专项辅助跳远器械的表面图像,通过中值滤波方法对器械表面图像进行去噪处理,结合直方图均匀化方法提高表面图像的视觉效果,强化边缘信息。利用Daubechies紧支正交小波基对体育专项辅助跳远器械表面图像进行小波包分解处理,提取器械表面图像的磨损特征,根据提取的特征实现体育专项辅助跳远器械磨损程度的检测。实验结果表明,所提方法的图像清晰度高、检测精度高。
When the current method is used to detect the wear degree of the sports special auxiliary long jump equipment,the quality of the image of the wear surface of the equipment is poor,which leads to the problem of low image clarity and low detection accuracy.A method for detecting the degree of wear of the sports special auxiliary long jump equipment is proposed.The Fourier transform method and filtering method are used to obtain the surface image of the sports special auxiliary long jump equipment on the basis of time series theory,and the surface image of the equipment is denoised by the median filter method,Combined with the histogram homogenization method to improve the visual effect of the surface image,and strengthen the edge information.Using Daubechies tightly supported orthogonal wavelet base to decompose the surface image of sports special auxiliary long jump equipment with wavelet packet,extract the wear characteristics of the equipment surface image,and realize the detection of the wear degree of sports special auxiliary long jump equipment according to the extracted features.Experimental results show that the proposed method has high image clarity and high detection accuracy.
作者
吴宝民
WU Bao-min(Changchun University of Technology,Jilin Changchun 130012,China)
出处
《机械设计与制造》
北大核心
2022年第8期1-5,共5页
Machinery Design & Manufacture
基金
吉林省教育厅课题—高校羽毛球场馆营销策略研究(2018373)。
关键词
体育专项
辅助跳远器械
磨损检测
中值滤波
直方图均衡化
Sports Special
Auxiliary Long Jump Equipment
Wear Detection
Median Filter
Histogram Equalization
