利用油品紫外荧光特性的多光谱成像检测

韩仲志; 万剑华; 刘杰; 刘康炜

doi:10.3788/fgxb20153611.1335

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利用油品紫外荧光特性的多光谱成像检测

发光学应用及交叉前沿 | 更新时间：2020-08-12

- 利用油品紫外荧光特性的多光谱成像检测
- Multispectral Imaging Detection Using The Ultraviolet Fluorescence Characteristics of Oil
- 发光学报 2015年36卷第11期页码：1335-1341
- 作者机构：
  
  1. 中国石油大学(华东) 地球科学学院,山东青岛,266580
  2. 青岛农业大学理学与信息科学学院,山东青岛,266109
  3. 中国石化青岛安全工程研究院, 山东青岛 266071
- 作者简介：
- 基金信息：
  
  国家自然科学基金(31201133)();青岛市科技发展计划(14-2-3-52-nsh)资助项目()
- DOI：10.3788/fgxb20153611.1335
  中图分类号： O439
- 纸质出版日期：2015-11-10，
  
  收稿日期：2015-8-11，
  
  修回日期：2015-9-16，
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韩仲志, 万剑华, 刘杰等. 利用油品紫外荧光特性的多光谱成像检测[J]. 发光学报, 2015,36(11): 1335-1341

HAN Zhong-zhi, WAN Jian-hua, LIU Jie etc. Multispectral Imaging Detection Using The Ultraviolet Fluorescence Characteristics of Oil[J]. Chinese Journal of Luminescence, 2015,36(11): 1335-1341
韩仲志, 万剑华, 刘杰等. 利用油品紫外荧光特性的多光谱成像检测[J]. 发光学报, 2015,36(11): 1335-1341 DOI： 10.3788/fgxb20153611.1335.

HAN Zhong-zhi, WAN Jian-hua, LIU Jie etc. Multispectral Imaging Detection Using The Ultraviolet Fluorescence Characteristics of Oil[J]. Chinese Journal of Luminescence, 2015,36(11): 1335-1341 DOI： 10.3788/fgxb20153611.1335.

摘要

利用石油及其产品具有的紫外荧光特性

搭建了一套紫外诱导多光谱成像系统.该系统主要由3个紫外诱导光源、8个滤波片和1个彩色CCD相机组成.采集了6种油品的多光谱图像

以有效光斑的24个颜色分量均值作为特征

提出了一种联合熵最大化的独立分量分析特征优化方法.K均值聚类和支持向量机识别结果表明

较改进前的ICA方法

该方法的特征优化性能得到了有效提高

油种识别率达到了92.3%.

Abstract

Based on the UV fluorescence phenomena of oil and its products

a multispectral imaging system was constructed. This system was composed of 3 UV excitation light sources

8 optics filters and a CCD camera. Using this system

multi-spectral images of 6 kinds of oil were collected. The mean of 24 color features of effective light spots was used as the feature set. Then

a novel method called maximize the joint entropy of independent component analysis (ICA) was proposed for K-mean cluster and SVM recognition. It is proved that this method is better than traditional ICA for feature optimized

and the identification rate is 92.3%. This result has positive significance for oil detection.

关键词

紫外诱导多光谱成像联合熵独立分量分析油品检测

Keywords

UV excitation lightmulti-spectral imagingjoint entropy of independent component analysisoil identification

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