基于视频流的马铃薯排种器性能检测方法
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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。
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.
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.
引文
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[23]贾洪雷,王刚,郭明卓,等.基于机器视觉的玉米植株数量获取方法与试验[J].农业工程学报,2015,31(3):215-220.
[2]向阳,谢方平,汤楚宙,等.输送带铺砂型排种器试验台的研制[J].农业工程学报,2009,25(6):136-140.
[3]吴南,林静,李宝筏,等.免耕播种机排种器性能监控系统设计与试验[J].农业机械学报,2016,47(S1):69-75.
[4]陈进,边疆,李耀明,等.基于高速摄像系统的精密排种器性能检测试验[J].农业工程学报,2009,25(9):90-95.
[5]高益秀,郑德聪.排种器性能测试技术的研究现状与展望[J].当代农机,2016(3):72-74.
[6]丁幼春,杨军强,朱凯,等.油菜精量排种器种子流传感装置设计与试验[J].农业工程学报,2017,33(9):29-36.
[7]HASSANKHANI R,NAVID H.Potato sorting based on size and color in machine vision system[J].Journal of agricultural science,2012,4(5):235-244.
[8]李珊珊,廖庆喜,王都,等.油菜气力滚筒式精量集排器充种性能仿真与试验[J].华中农业大学学报,2017,36(5):99-107.
[9]赵郑斌,刘昱程,刘忠军,等.基于机器视觉的穴盘精密播种性能检测系统[J].农业机械学报,2014,45(S1):24-28.
[10]谢竹青,胡建平.磁吸式精密播种器性能图像检测技术研究[J].计算机应用与软件,2009(2):177-178,213.
[11]安爱琴,王玉顺,聂永芳,等.基于机器视觉的帧种子数识别及其应用[J].农机化研究,2013(4):171-173,194.
[12]吕金庆,杨颖,李紫辉,等.舀勺式马铃薯播种机排种器的设计与试验[J].农业工程学报,2016,32(16):17-25.
[13]杨丹.气力式水平圆盘马铃薯排种器的设计与试验研究[D].武汉:华中农业大学,2016.
[14]郝慧灵.基于机器视觉的马铃薯图像采集及检测方法研究[D].呼和浩特:内蒙古农业大学,2015.
[15]刘洪强,马旭,袁月明,等.基于光电传感器的精密排种器性能检测[J].吉林农业大学学报,2007,29(3):347-349.
[16]LAN Y,KOCHER M F,SMITH J A.Opto-electronic sensor system for laboratory measurement of planter seed spacing with small seeds[J].Journal of agricultural engineering research,1999,72(2):119-227.
[17]张志强,牛智有,赵思明,等.基于机器视觉技术的淡水鱼质量分级[J].农业工程学报,2011,27(2):350-354.
[18]王红军,熊俊涛,黎邹邹,等.基于机器视觉图像特征参数的马铃薯质量和形状分级方法[J].农业工程学报,2016,32(8):272-277.
[19]周竹,黄懿,李小昱,等.基于机器视觉的马铃薯自动分级方法[J].农业工程学报,2012,32(7):178-183.
[20]ABDOLLAH G,FARID B,HOSSEIN B.Design,development and evaluation of an online potato sorting system using machine vision[J].International journal of agriculture and crop science,2013,6(7):396-402.
[21]李明.气力杯勺式马铃薯排种器的设计与试验研究[D].武汉:华中农业大学,2017.
[22]中华人民共和国国家质量监督检验检疫总局,国家标准化管理委员会.单粒(精密)播种机试验方法:GB/T 6973—2005[S].北京:中国标准出版社,2005.
[23]贾洪雷,王刚,郭明卓,等.基于机器视觉的玉米植株数量获取方法与试验[J].农业工程学报,2015,31(3):215-220.