YANG Xiukun, ZHONG Mingliang, JING Xiaojun, WANG Jianli, CHEN Xuqi. NIR Chemical-Image Analysis Based on Adaptive Local Optimization PSO[J]. Chinese Journal of Electronics, 2014, 23(1): 115-118.
Citation: YANG Xiukun, ZHONG Mingliang, JING Xiaojun, WANG Jianli, CHEN Xuqi. NIR Chemical-Image Analysis Based on Adaptive Local Optimization PSO[J]. Chinese Journal of Electronics, 2014, 23(1): 115-118.

NIR Chemical-Image Analysis Based on Adaptive Local Optimization PSO

Funds:  This work is supported by the National Natural Science Foundation of China (No.61143008).
  • Received Date: 2012-11-01
  • Rev Recd Date: 2013-06-01
  • Publish Date: 2014-01-05
  • Principal component analysis (PCA) combined with cluster analysis has become an effective approach for Near-infrared (NIR) chemical image analysis. Traditional cluster algorithms are sensitive to initial starting conditions and can be trapped into local optimal solutions. To overcome the drawbacks, we develop a new algorithm in this paper which improves Particle swarm optimization with Adaptive local optimization (ALO-PSO). Simulation experiments performed on NIR image of tablet verify the feasibility and effectiveness of the proposed algorithm. Experimental results of the clustering performances indicate that ALO-PSO algorithm offers an alternative approach for solving data clustering problems in NIR chemical image analysis.
  • loading
  • R. Salzer and H.W. Siesler,"Infrared and Raman Spectroscopic Imaging", Wiley-VCH, Weinheim, Germany, pp.66-95, 2009.
    M.B. Lopes, J.C. Wolff, J.M. Bioucas-Dias, et al.,"Nearinfrared hperspectral unmixing based on a minimum volume criterion for fast and accurate chemometric characterization of counterfeit tablets", Anal. Chem, Vol.82, No.4, pp.1462-1469, 2010.
    J. Cruz and M. Blanco,"Content uniformity studies in tablets by NIR-CI", Journal of Pharmaceutical and Biomedical Analysis, Vol.56, No.2, pp.408-412, 2011.
    J.M. Amigo and C. Ravn,"Direct quantification and distribution assessment of major and minor components in pharmaceutical tablets by NIR-chemical imaging", European Journal of Pharmaceutical Sciences, Vol.37, No.2, pp.76-82, 2009.
    J.H. Xue, C. Lee, S.G. Wakeham, et al.,"Using Principal components analysis (PCA) with cluster analysis to study the organic geochemistry of sinking particles in the ocean", Organic Geochemistry, Vol.42, No.4, pp.356-367, 2011.
    B. Vajna, A. Farkasa, H. Patakia, et al.,"Testing the performance of pure spectrum resolution from Raman hyperspectral images of differently manufactured pharmaceutical tablets", Analytica Chimica Acta, Vol.712, pp.45-55, 2012.
    A. Paoli, F. Melgani and E. Pasolli,"Clustering of hyperspectral images based on multiobjective particle swarm optimization", IEEE Transactions on Geoscience And Remote Sensing, Vol.47, No.12, pp.4175-4188, 2009.
    L. Zhang, M.J. Henson and S.S. Sekulic,"Multivariate data analysis for Raman imaging of a model pharmaceutical tablet", Analytica Chimica Acta, Vol.545, No.2, pp.262-278, 2005.
    Hong Tao, Peng Gang, Li Zhiping and Liang Yi,"A novel evolutionary strategy for particle swarm optimization", Chinese Journal of Electronics, Vol.18, No.4, pp.771-774, 2009.
    Lu Hui, Liu Xin,"Compass augmented regional constellation optimization by a multi-objective algorithm based on decomposition and PSO", Chinese Journal of Electronics, Vol.21, No.2, pp.374-378, 2012.
    Zhang Wenbo, Zhang Xiaoguang and Xi Lixia,"A method used in adaptive polarization mode dispersion compensation", Journal of Beijing University of Posts and Telecommunications, Vol.34, No.6, pp.19-23, 2011.
    Y. Wang, X. Yao and R. Parthasarathy,"Characterization of interfacial chemistry of adhesive/dentin bond using FTIR chemical imaging with univariate and multivariate data processing", Journal of Biomedical Materials Research Part A, Vol.91, No.1, pp.251-262, 2009.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (184) PDF downloads(1345) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return