CAJ | 학술논문

为实现除草机器人视频图像实时处理，基于Intel 开源视觉库OpenCV 技术，提出了一种除草机器人视频图像处理方法，并给出了整体方案。利用该方案设计除草机器人视频图像实时处理系统，并在土槽实验室进行试验验证。试验结果表明，该系统能够完成视频图像高速处理与作物植株定位，从而为实现除草机器人末端执行机构精确运动控制打下了坚实基础。
위실현제초궤기인시빈도상실시처리，기우Intel 개원시각고OpenCV 기술，제출료일충제초궤기인시빈도상처리방법，병급출료정체방안。이용해방안설계제초궤기인시빈도상실시처리계통，병재토조실험실진행시험험증。시험결과표명，해계통능구완성시빈도상고속처리여작물식주정위，종이위실현제초궤기인말단집행궤구정학운동공제타하료견실기출。
In order to achieve real-time processing of video images of weeding robot , based on Intel's open source vision library OpenCV technology , this paper puts forward a weeding robot video image processing method , and give the overall program .Using this scheme design weeding robot real-time video image processing system , and in the soil bin testing lab for verification .The test results show that the system can complete the high-speed processing of video images and the po-sitioning of crop plants , All these work provide a solid foundation for the realization of weeding robot end actuator precise motion control .