Improved Baseline Correction Method Based on Polynomial Fitting for Raman Spectroscopy

• Main Authors: Haibing Hu, Jing Bai, Guo Xia, Wenda Zhang, Yan Ma
• Format: Article
• Language: English
• Published: SpringerOpen 2018-09-01
• Series: Photonic Sensors
• Subjects: Raman spectrum; piecewise polynomial fitting; baseline correction; elimination of discontinuities
• Online Access: http://link.springer.com/article/10.1007/s13320-018-0512-y
• ISSN: 1674-9251; 2190-7439

Abstract Raman spectrum, as a kind of scattering spectrum, has been widely used in many fields because it can characterize the special properties of materials. However, Raman signal is so weak that the noise distorts the real signals seriously. Polynomial fitting has been proved to be the most convenient and simplest method for baseline correction. It is hard to choose the order of polynomial because it may be so high that Runge phenomenon appears or so low that inaccuracy fitting happens. This paper proposes an improved approach for baseline correction, namely the piecewise polynomial fitting (PPF). The spectral data are segmented, and then the proper orders are fitted, respectively. The iterative optimization method is used to eliminate discontinuities between piecewise points. The experimental results demonstrate that this approach improves the fitting accuracy.