Morphology-Enhanced Rolling Ball Algorithm for Baseline Removal.

IF 2.2 3区 化学 Q2 INSTRUMENTS & INSTRUMENTATION
Xiaoyang Li, Hanjun Zhang, Zhong Wang, Yuee Li
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引用次数: 0

Abstract

As a preprocessing step of spectroscopic techniques such as Raman spectroscopy, infrared spectroscopy, electrophoresis, etc., the baseline correction is very important for improving the signal quality, thereby ensuring the reliability and accuracy of the data analysis. Methods such as polynomial fitting, wavelet transforms, and frequency-domain filtering are widely used for baseline correction, effectively reducing interference and enhancing the reliability of signal analysis. However, these methods have certain limitations: (i) Polynomial fitting faces challenges in determining the optimal order, which may affect the fitting quality, (ii) wavelet transforms are complex and require fine adjustments, and (iii) frequency-domain filtering may cause signal distortion. These shortcomings affect the implementation of the algorithm in spectral related industries. Therefore, finding an appropriate algorithm to optimize baseline removal is crucial for the development of automated spectral analysis equipment. Here, we propose a rolling ball baseline removal algorithm based on morphological operations. With its simple implementation and excellent baseline removal performance, this method effectively avoids the overfitting problems. It is suitable for baseline correction in not only Raman spectroscopy, but also various other types of spectral data. In all, this approach offers a convenient and efficient general solution for the processing of various spectral data.

EXPRESS:基于形态增强的滚动球基线去除算法。
基线校正作为拉曼光谱、红外光谱、电泳等光谱技术的预处理步骤,对于提高信号质量,从而保证数据分析的可靠性和准确性非常重要。目前广泛采用多项式拟合、小波变换、频域滤波等方法进行基线校正,有效地减少了干扰,提高了信号分析的可靠性。但这些方法存在一定的局限性:(1)多项式拟合难以确定最优阶数,可能影响拟合质量;(2)小波变换复杂,需要精细调整;(3)频域滤波可能导致信号失真。这些缺点影响了该算法在频谱相关行业的实现。因此,寻找一种合适的算法来优化基线去除对于自动化光谱分析设备的开发至关重要。本文提出了一种基于形态学操作的滚动球基线去除算法。该方法实现简单,基线去除性能好,有效避免了过拟合问题。它不仅适用于拉曼光谱的基线校正,也适用于各种其他类型的光谱数据。总之,该方法为各种光谱数据的处理提供了一种方便、高效的通用解决方案。
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来源期刊
Applied Spectroscopy
Applied Spectroscopy 工程技术-光谱学
CiteScore
6.60
自引率
5.70%
发文量
139
审稿时长
3.5 months
期刊介绍: Applied Spectroscopy is one of the world''s leading spectroscopy journals, publishing high-quality peer-reviewed articles, both fundamental and applied, covering all aspects of spectroscopy. Established in 1951, the journal is owned by the Society for Applied Spectroscopy and is published monthly. The journal is dedicated to fulfilling the mission of the Society to “…advance and disseminate knowledge and information concerning the art and science of spectroscopy and other allied sciences.”
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