现代电子技术2017，Vol.40Issue(9)：39-42,4.DOI:10.16652/j.issn.1004-373x.2017.09.011
基于模糊聚类算法的体育运动视频图像分析应用
Application of sports video image analysis based on fuzzy clustering algorithm
摘要
Abstract
Since the current sports video image segmentation methods have the defects of rough image segmentation result and high space distortion rate,a sports video image segmentation method based on fuzzy clustering algorithm is proposed. The basic theory of fuzzy clustering algorithm is introduced. The two-order fuzzy attribute containing the normal distribution and gray value is established by virtue of the time-domain difference image to give the fuzzy attribute S-membership function,so as to per-form the fuzzy clustering to the time-domain difference image. The sports video image segmentation result is obtained with edge detection. The experimental results show that the proposed method has high space accuracy,perfect noise iteration performance and low space distortion rate,and can segment the complex sports video image accurately to obtain the high-definition image.关键词
模糊聚类算法/隶属度/体育运动视频/图像分割Key words
fuzzy clustering algorithm/membership degree/sports video/image segmentation分类
信息技术与安全科学引用本文复制引用
王科飞..基于模糊聚类算法的体育运动视频图像分析应用[J].现代电子技术,2017,40(9):39-42,4.基金项目
2016河南省科技攻关重点项目:社区居民健康管理与体育运动指导系统的设计与实践(162102310165) （162102310165）
