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A Method of Part Recognition Based on Robot Vision and HSV Space

机译:一种基于机器人视觉和HSV空间的部分识别方法

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摘要

A method is presented to find the pose of the part according to the robot vision and HSV space. First the calibration of hand-eye is made and the centroid of the part is found. Then the existence of the part is judged by grey threshold and the contour of the image is realized by image division based on the HSV space of color image. The result shows that the method could satisfy the pose precision of the part obtained from robot vision.
机译:提出了一种方法以根据机器人视觉和HSV空间找到部分的姿势。首先,制造手眼的校准,并找到部分的质心。然后,通过灰度阈值判断该部分的存在,并且通过基于彩色图像的HSV空间通过图像分割实现图像的轮廓。结果表明,该方法可以满足从机器人视觉获得的部件的姿势精度。

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