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Proceedings Paper

An automatic peak detection algorithm for Raman spectroscopy based on wavelet transform
Author(s): Zhijian Cai; Jianhong Wu
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Paper Abstract

Automatic peak detection is important for the application of Raman spectroscopy. However, the existence of noise and baseline disturbances will greatly degrade the reliability and accuracy of the peak detection. In this paper we proposed a hybrid wavelet-transform-based algorithm to improve the peak detection performance. Here, continuous wavelet transform method was used to robustly identify the spectral peaks, and to minimize the influence of noise and baseline disturbances. A localized curve-fitting method was used to obtain the accurate parameters of the peaks, such as location, width and intensity. The simulation and experiment proved that this method was robust against various disturbances and it could not only automatically detect the peaks but also obtain accurate parameters of the spectral peaks.

Paper Details

Date Published: 28 November 2011
PDF: 9 pages
Proc. SPIE 8200, 2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 82000E (28 November 2011); doi: 10.1117/12.904862
Show Author Affiliations
Zhijian Cai, Soochow Univ. (China)
Jianhong Wu, Soochow Univ. (China)


Published in SPIE Proceedings Vol. 8200:
2011 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology
Toru Yoshizawa; Ping Wei; Jesse Zheng, Editor(s)

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