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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:为了使智能机器人能够快速,准确地识别和定位网球,本文提出了一种基于颜色和形状的网球识别新方法。首先,利用Matlab处理功能,通过彩色滤镜方法和图像滤镜方法去除更独立的目标图像。其次,提取角点像素以完成立体视觉匹配,以获得在极端约束下的位置和形状的三维信息。充分的网球识别实验表明,基于单网球特征的算法精度差,视差定位精度为76%,距离精度为71%,颜色精度为67%。但是,基于三个特征的算法的准确率达到了91%。结果表明,该算法具有较高的鲁棒性,可以更有效地定位和区分网球位置,从而提高了智能机器人的工作效率。

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