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A new method for image recognition of binocular vision system by tennis intelligent robot

机译:网球智能机器人双目视觉系统图像识别的一种新方法

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Aim to let the intelligent robot could quick, accurately identify and locate tennis, a new method of tennis recognition is proposed in this paper based on color and shape. First, more independent goals image are removed through color filter method and image filter method with taking advantage of Matlab processing functions. Secondly, corner pixels were extracted to complete stereovision matching in order to obtain tridimensional information of position and shape under the extreme constraints. Sufficient experiments of tennis recognition show that the algorithm which is based on single tennis characteristic has poor accuracy with parallax positioning accuracy of 76%, distance accuracy of 71% and color accuracy of 67%. However, accuracy of the algorithm which bases on three characteristics reaches 91%. The results show that the algorithm has higher robustness and tennis position can be located and distinguished more effectively, work efficiency is therefore enhanced for the intelligent robot.
机译:旨在让智能机器人可以快速,准确地识别和定位网球,基于颜色和形状,本文提出了一种新的网球识别方法。首先,通过滤色器方法和图像滤波器方法拆除更独立的目标图像,利用MATLAB处理功能。其次,提取角像素以完成立体匹配,以便在极端约束下获得位置和形状的三维信息。网球识别的充分实验表明,基于单网子特性的算法具有较差的精度,视差定位精度为76%,距离精度为71%,颜色精度为67%。然而,基于三个特性的算法的准确性达到91%。结果表明,该算法具有较高的稳健性和网球位置,可以更有效地分辨并以工作效率为特征,因此为智能机器人提高了工作效率。

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