Research on identification method for capsule-grain of real and false medicine based on image analyzing

FENG Shan-shan; CHEN Shu-yue

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Research on identification method for capsule-grain of real and false medicine based on image analyzing

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- Research on identification method for capsule-grain of real and false medicine based on image analyzing
- Issue 8, Pages: 54-56(2008)
- 作者机构：
  
  中北大学
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.41
- Published：2008
- 稿件说明：
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[1]冯珊珊,陈树越.基于图像分析的真假药胶囊颗粒识别方法研究[J].传感器与微系统,2008(08):54-56.

FENG Shan-shan, CHEN Shu-yue. Research on identification method for capsule-grain of real and false medicine based on image analyzing[J]. 2008, (8): 54-56.
[1]冯珊珊,陈树越.基于图像分析的真假药胶囊颗粒识别方法研究[J].传感器与微系统,2008(08):54-56. DOI：

FENG Shan-shan, CHEN Shu-yue. Research on identification method for capsule-grain of real and false medicine based on image analyzing[J]. 2008, (8): 54-56. DOI：

摘要

研究了一种基于图像处理和神经网络的真假药胶囊颗粒的自动识别方法。用高像素数码相机对胶囊颗粒进行拍照来获取图像

并对图像进行预处理。提取每个颗粒的形状因子、周长体积、面积体积等特征参数

作为神经网络的输入

建立特征参数与真假胶囊颗粒之间的神经网络模型。实验结果表明:该方法对真药胶囊颗粒与假药胶囊颗粒的检测平均准确率为97.5%

达到了较好的自动识别效果。

Abstract

An automatic discriminating method of real and false capsule-grain is researched based on image processing and neural network.The picture of the capsule-grains is gotten by a good camera and processed in advance

some characteristic parameters such as form-diathesis

acreage-volume

girth-volume of every one is calculated

Those numbers of characteristic parameters are used as inputs of the neural network.A neural network model is set up between the feature parameters and real or false capsule-grains.The experiment results show that the average accuracy is 97.5%

and the automatic identification is reached.

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references

红外成像型制导系统舰船目标实时识别技术研究 [J]. 刘松涛,沈同圣,周晓东,韩艳丽. 红外与毫米波学报 . 2004(01)

一种实时纸币识别方法的研究 [J]. 刘家锋,刘松波,唐降龙. 计算机研究与发展 . 2003(07)

数字图像处理[M]. 电子工业出版社 , (美)RafaelC.Gonzalez,（美）RichardE.Woods,（美）StevenL.Eddins著, 2005

Rejection based classifier for face detection [J] . Michael Elad,Yacov Hel-Or,Renato Keshet. Pattern Recognition Letters . 2002 (12)

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