| 一种激光诱导荧光光谱特征提取新方法 |
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| 引用本文： | 王双维,樊晓平,廖志芳.一种激光诱导荧光光谱特征提取新方法[J].计算机工程与应用,2008,44(12):238-240. |
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| 作者姓名： | 王双维 樊晓平 廖志芳 |
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| 作者单位： | 中南大学,信息科学与工程学院,长沙,410083 |
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| 基金项目： | 湖南省自然科学基金(the Natural Science Foundation of Hunan Province of China under Grant No.06JJ50143) |
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| 摘 要： | 利用主成分分析(Principal Component Analysis,PCA)和Fisher线性判别分析(Fisher Linear Discriminative Analysis,FLDA)方法相结合提取特征,提出了一种荧光光谱特征提取新方法--PCA_FLDA。实验证明,新方法提高了激光诱导自体荧光光谱对早期结肠癌的诊断精度。对预处理后的240条荧光光谱,利用PCA_FLDA算法提取了50个特征变量,利用支持向量机将其分为正常组织和癌变组织,分类敏感性、特异性和准确率可分别达到97.5%、95.12%和96.25%。
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| 关 键 词： | 激光诱导荧光光谱 特征提取 PCA FLDA 支持向量机 |
| 文章编号： | 1002-8331(2008)12-0238-03 |
| 收稿时间： | 2007-7-31 |
| 修稿时间： | 2007年7月31日 |
New feature extraction method for laser-induced fluorescence spectra |
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| WANG Shuang-wei,FAN Xiao-ping,LIAO Zhi-fang.New feature extraction method for laser-induced fluorescence spectra[J].Computer Engineering and Applications,2008,44(12):238-240. |
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| Authors: | WANG Shuang-wei FAN Xiao-ping LIAO Zhi-fang |
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| Affiliation: | School of Information Science and Engineering，Central South University，Changsha 410083，China |
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| Abstract: | Combined with Principal Component Analysis (PCA) and Fisher Linear Discriminative Analysis (FLDA) to extract features,a novel fluorescence spectra feature extraction algorithm named PCA_FLDA is presented in this paper.The experiment results show that this method can improve the diagnostic rate of earlier stage colonic cancer with laser-induced fluorescence spectra.After preprocessing the collected 240 spectra,50 feature variants were extracted with PCA_FLDA.By means of the support vector machine,all spectra are classified into two categories as the normal or the abnormal one.The sensitivity,specificity and discriminating accuracy are reached to 97.5%,95.12% and 96.25%,respectively. |
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| Keywords: | laser-induced fluorescence spectra feature extraction Principal Component Analysis(PCA) Fisher Linear Discriminative Analysis(FLDA) Support Vector Machine(SVM) |
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