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投稿时间：2012-11-14 修订日期：2013-02-26
投稿时间：2012-11-14 修订日期：2013-02-26
中文摘要: 本文针对传统药材分类技术中存在的速度慢、效率低、易受人为因素影响等缺陷，设计出一个基于多传感器信息融合的药材分类系统，完成药材成品的分类和评级。该系统利用图像传感器、气体传感器、味道传感器对药材特征进行量化，提取高维特征向量，通过支持向量机(SVM)训练学习，建立特征数据库，实现对药材的分类和评级。该药材分类系统集图像采集、特征提取、特征分析、模型训练和药材分类等功能于一体，实验结果表明，系统能够区分不同类别的药材，并能对同一类药材进行等级的确定。
中文关键词: Multi-sensor information fusion Medicinal materials classification Feature extraction Support vector machine
Abstract:Traditional medicinal material classification methods suffered from inefficiency and being susceptible to human factor. In this paper, a Multi-sensor information fusion classification and identification system was proposed. Firstly, this system quantized medicinal material features from image sensors, gas sensors and taste sensors. Secondly, high dimension features from both training and testing samples of medicinal materials were extracted. In the end, feature matrix was created and SVM algorithm was adopted for recognition purpose. Through experiment and visual measurement, medicinal material classification system is multi-functional one including image acquisition, feature extraction, feature analysis, model building and classification. It can not only classify medicinal material between different classes, but also identify grade in the same class.
keywords: Multi-sensor information fusion Medicinal materials classification Feature extraction Support vector machine
文章编号：201200894 中图分类号： 文献标志码：
基金项目:省科技创新苗子工程资助项目
| 作者 | 单位 | |
| 刘长江 | 四川大学计算机学院 | liuchangjiang@189.cn |
| 杨添钧 | 成都中医药大学 | |
| 艾莉 | 成都中医药大学 | |
| 张轶* | 视觉合成图形图像技术国防重点学科实验室 | yi.zhang@scu.edu.cn |
| 杨丹 | 四川大学 |
| Author Name | Affiliation | |
| Liu Chang-Jiang | Si chuan university of Science & Engineerning | liuchangjiang@189.cn |
| Zhang Yi | National Key Lab. of Fundamental Sci. on Synthetic Vision | yi.zhang@scu.edu.cn |
作者简介:
引用文本：
刘长江,杨添钧,艾莉,张轶,杨丹.多传感器信息融合在药材分类系统中的应用[J].工程科学与技术,2013,45(Z1):100-105.
Liu Chang-Jiang,Zhang Yi.Multi-sensor information fusion based medicinal material classification system[J].Advanced Engineering Sciences,2013,45(Z1):100-105.
引用文本：
刘长江,杨添钧,艾莉,张轶,杨丹.多传感器信息融合在药材分类系统中的应用[J].工程科学与技术,2013,45(Z1):100-105.
Liu Chang-Jiang,Zhang Yi.Multi-sensor information fusion based medicinal material classification system[J].Advanced Engineering Sciences,2013,45(Z1):100-105.