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机构地区:[1]南京农业大学工学院体育部,南京210031 [2]江西农业大学成人教育学院,南昌330045 [3]南京农业大学工学院电气工程系,南京210031
出 处:《科学技术与工程》2009年第3期601-604,共4页Science Technology and Engineering
摘 要:为了辅助裁判员肉眼判别足球比赛越位情况,根据赛前采集的颜色样本,基于数学形态学原理和Hough变换,从彩色图像中分别提取了红、兰方球员和禁区线;基于禁区线上的三叉点和端点坐标获取了端线斜率,由端线斜率将图像旋转至水平方向,并在最接近端线的红、兰方球员之间画出水平越位线。用机器视觉技术辅助裁判员进行足球越位判别是可行的。In order to help to judge offside for the umpire by eyes in football match, both red and blue player and forbidden zone lines were extracted from a color image according to the color samples obtained before match based on mathematical morphology and Hough transform. The slope of base line was calculated based on the coordinates of three-cross point and extreme point on forbidden zone lines. The image were rotated on near the horizon based on the slope of base line, and the horizon offside line was drawn in the middle of red and blue player region which are nearest from base line. It is feasible to judge offside for the umpire by eyes in football match based on machine vision.
分 类 号:TP242.62[自动化与计算机技术—检测技术与自动化装置]
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