摘要
由于机器人动态目标检测系统在检测过程中缺少对动态物体的准确标定,导致检测精度不高。基于此,设计基于机器视觉的机器人动态目标检测系统。首先,对机器人动态目标检测图像进行处理,基于机器视觉对处理过后的图像信息进行动态目标检测标定;其次,根据标定传输数据畸变校正动态目标检测图像,从而实现动态目标检测;最后,进行实验对比分析。实验结果表明,该系统的动态目标检测误差小,能够实现动态目标检测。
Due to the lack of accurate calibration of dynamic objects in the robot dynamic target detection system,the detection accuracy is not high.Based on this,a robot dynamic target detection system based on machine vision is designed.Firstly,the robot dynamic target detection image is processed,and the processed image information is calibrated based on machine vision.Secondly,the dynamic target detection image is corrected according to the distortion of the calibrated transmission data,so as to realize the dynamic target detection.Finally,the experiment is compared and analyzed.The experimental results show that the dynamic target detection error of the system is small,and the dynamic target detection can be realized.
作者
王瑞
WANG Rui(Zhongyuan Institute of Science and Technology,Zhengzhou Henan 450000,China)
出处
《信息与电脑》
2023年第3期28-30,共3页
Information & Computer
关键词
机器视觉
机器人
动态目标
检测
图像校正
machine vision
robot
dynamic target
detection
image correction
