基于视频流的马铃薯排种器性能检测方法
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国家现代农业产业体系(CARS-9-P07); 国家自然科学基金青年基金项目(61503146); 湖北省科技创新重大项目(2016ABA092)


Machine vision-based potato seed metering machine performance detection
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    摘要:

    为实现马铃薯排种器的排种性能指标和播种精确性指标检测,设计一种由铺砂、排种、输送、控制以及图像处理等工作部分组成的马铃薯排种器性能检测系统,并提出相应的检测方法,即排种器固定于试验台上方正常工作,种薯掉落在移动的输送带上,使用工业相机拍摄输送带上种薯的视频。依据输送带运动参数和相机帧率,确定和提取视频的关键帧。通过识别和定位输送带上粘贴的二维码,实现对关键帧的拼接,得到1次测试中全部的、无重复的一幅种薯图像。对种薯图像进行处理和分析,得到每个种薯的中心坐标,继而计算种薯的相对位置信息,以评估排种器性能。试验结果表明,该检测系统测量精度高,大幅降低了人工劳动强度,具有很好的应用价值。

    Abstract:

    To detect potato metering device performance index and seeding accuracy index,the potato seed metering device performance testing system with sanding,metering,transmission,control and image processing was designed and the corresponding detection method was put forward.The metering device is fixed on the test bench,seed falls on the moving conveyor belt,and industrial camera shots video of the potatoes on the conveyor belt.The key frames of the video are determined and extracted according to the motion parameters of the conveyor belt and the frame rate of the camera.By identifying and locating the two-dimensional code pasted on the conveyor belt,the key frames are stitching to get all the potatoes without repeated images in one test.The image of seed potato was processed and analyzed.The central coordinates of each kind of seed potato were obtained.The relative position information of the seed potato was calculated to evaluate the performance of the seed metering device.The results showed that the detection system has high measurement accuracy,greatly reduces the labor intensity and has a good application value.

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黄翔,段宏兵,徐胜勇,宋波涛,陈志鹏,余参参.基于视频流的马铃薯排种器性能检测方法[J].华中农业大学学报,2018,37(04):138-144

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  • 在线发布日期: 2018-07-09
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