| 基于高速图像处理提取被抛土粒三维运动轨迹 |
| |
| 引用本文： | 刘保玲,邱白晶,史春建,陈翠英.基于高速图像处理提取被抛土粒三维运动轨迹[J].农业机械学报,2006,37(6):98-101. |
| |
| 作者姓名： | 刘保玲 邱白晶 史春建 陈翠英 |
| |
| 作者单位： | 江苏大学江苏省现代农业装备与技术重点实验室 |
| |
| 基金项目： | 机械工业部重点学科建设基金 |
| |
| 摘 要： | 为了更好地分析潜土逆转旋耕刀的抛土性能,用两台高速摄像机组成双目立体视觉系统对潜土逆转旋耕机的抛土过程进行同步记录,然后跟踪图像序列中同一土粒的运动轨迹.提出了用BP神经网络建立双目立体视觉模型的方法,利用此模型进行标定,找出物体的图像坐标与世界坐标之间的映射关系,解决了土粒三维运动轨迹的提取问题.
|
| 关 键 词： | 潜土逆转旋耕 神经网络 运动轨迹 标定 |
| 收稿时间： | 12 10 2004 12:00AM |
| 修稿时间： | 2004-12-10 |
3-D Trace of Clod Thrown by Rotary Tiller Based on High Speed Image Processing |
| |
| Liu Baoling,Qiu Baijing,Shi Chunjian,Chen Cuiying.3-D Trace of Clod Thrown by Rotary Tiller Based on High Speed Image Processing[J].Transactions of the Chinese Society of Agricultural Machinery,2006,37(6):98-101. |
| |
| Authors: | Liu Baoling Qiu Baijing Shi Chunjian Chen Cuiying |
| |
| Institution: | Jiangsu University |
| |
| Abstract: | In order to analyze the performance of submerged reverse-rotary blade, processing of the motion of clods of submerged reverse-rotary tiller was recorded by the binocular vision system consisted of two high speed imaging systems ; function relation between the image coordinates and the world coordinates of the object with BP neural network were found, then 3-D moving trace was restored by using the trained network. |
| |
| Keywords: | Submerged reverse-rotary tillage Neural network Moving trace Calibration |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
