| 利用油品紫外荧光特性的多光谱成像检测 |
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| 引用本文： | 韩仲志,万剑华,刘杰,刘康炜.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. |
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| 作者姓名： | 韩仲志 万剑华 刘杰 刘康炜 |
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| 作者单位： | 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 |
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| 基金项目： | 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 |
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| 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%.
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| 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 |
| 收稿时间： | 2015-08-11 |
Multispectral Imaging Detection Using The Ultraviolet Fluorescence Characteristics of Oil |
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| HAN Zhong-zhi,WAN Jian-hua,LIU Jie,LIU Kang-wei.Multispectral Imaging Detection Using The Ultraviolet Fluorescence Characteristics of Oil[J].Chinese Journal of Luminescence,2015,36(11):1335-1341. |
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| Authors: | HAN Zhong-zhi WAN Jian-hua LIU Jie LIU Kang-wei |
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| Institution: | 1. School of Geosciences, China University of Petroleum, Qingdao 266580 China;
2. Information College, Qingdao Agricultural University, Qingdao 266109 China;
3. Sinopec Safety Engineering Institute, Qingdao 266071 China |
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| 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. |
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| Keywords: | UV excitation light multi-spectral imaging joint entropy of independent component analysis oil identification |
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