| 基于BP神经网络的液滴图像识别方法 |
| |
| 引用本文： | 扈映茹,吕岑,户军茹.基于BP神经网络的液滴图像识别方法[J].光学仪器,2009,31(2):38-41. |
| |
| 作者姓名： | 扈映茹 吕岑 户军茹 |
| |
| 作者单位： | 1. 陕西科技大学,电气与信息工程学院,陕西,西安,710021
2. 武警工程学院,电子技术系,陕西,西安,710086 |
| |
| 摘 要： | 通过CCD监测白酒和掺入50％水的白酒两种不同液体液滴的生长过程，针对最大的液滴提取特征参数，利用主成分分析技术对特征参数进行优化，确定了5项有效的特征参数。最后采用BP神经网络识别不同的液滴。结果表明：不同液体液滴的轮廓特征参数是有区别的。因此，结合模式识别的图像液滴分析技术可以应用于分析和鉴别液体。
|
| 关 键 词： | 液滴分析 主成分分析 BP神经网络 |
The droplet image recognition method based on BP neural network |
| |
| HU Yingru,LV Cen,HU Junru.The droplet image recognition method based on BP neural network[J].Optical Instruments,2009,31(2):38-41. |
| |
| Authors: | HU Yingru LV Cen HU Junru |
| |
| Affiliation: | HU Yingru, LV Cen, HU Junru (1. College of Electric and Information Engineering, Shaanxi University of Science and Technology, Xi＇an 710021, China 2. Department of Electronic Technology, Engineering College of Armed Police Force, Xian 710086, China) |
| |
| Abstract: | Monitor the growth process of two different liquid droplets that are wine and wine adding 50%of water through CCD,get out characteristic parameters of the biggest droplets, use the principal component analysis(PCA) to optimize the characteristic parameter,and determine 5 effective characteristic parameters.Finally the liquid droplets are recognized by using the BP nerve network.The result indicated:the characteristic parameters of liquid droplet are different.Therefore,image droplets parsing technique are used in the analysis and the distinction liquids. |
| |
| Keywords: | droplets analysis principal component analysis BP neural network |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《光学仪器》浏览原始摘要信息 |
|
点击此处可从《光学仪器》下载全文 |
|
