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| 排种器性能检测中种子位置智能检测方法 | |
| 引用本文： | 胡少兴,马成林,张爱武.排种器性能检测中种子位置智能检测方法[J].农业机械学报,2001,32(3):36-39. |
| 作者姓名： | 胡少兴 马成林 张爱武 |
| 作者单位： | 1. 吉林大学研究生院博士生, 2. 吉林大学机械科学与工程学院博士生导师教授 3. 吉林大学研究生院博士生 |
| 基金项目： | 国家“九五”重中之重科技攻关资助项目 !(项目编号 :95 0 0 10 3招标 0 4)，国家高校“2 11工程”重点建设项目 |
| 摘 要： | 根据基于计算机视觉的排种器性能检测的特点，提出了基于神经网络的种子位置智能检测方法。采用两个光轴互相垂直的摄像机监测投种规律，并把以矩法求取的质心图像坐标作为输入节点，构造检测种子质心实际坐标的两个神经网络，并行处理左右两幅图像，从而快速求得种子位置。实践表明，此方法不仅能求出种子位置，而且可全面监测种子的运动情况。 |
| 关 键 词： | 图像处理 神经网络 多目标 质心 排种器 种子位置 智能检测 |
| 修稿时间： | 2000年5月8日 |
An Intelligent Detecting Method for Seed Position in Performance Detection of Seedmeter |
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| Hu Shaoxing,Ma Chenglin,Zhang Aiwu.An Intelligent Detecting Method for Seed Position in Performance Detection of Seedmeter[J].Transactions of the Chinese Society of Agricultural Machinery,2001,32(3):36-39. | |
| Authors: | Hu Shaoxing Ma Chenglin Zhang Aiwu |
| Institution: | Jilin University |
| Abstract: | Based on the feature of performance detection of a seedmeter, an intelligent detecting method for seed position was proposed in this paper. Two cameras with orthogonal optical axis were applied to monitoring seed position. Mass center of seed was regarded as detecting attribute, and the image coordinate of mass center calculated by method of moment was input into BP. Further more, two neural networks were constructed to synchronously process left and right images, so object position was gained quickly. The experiments showed that seed position could be obtained and the law of seed dropping was also monitored. |
| Keywords: | Image processing Neural network Multi objects Mass center |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |