Intelligent spectral algorithm for pigments visualization, classification and identification based on Raman spectra

J Hu, D Zhang, H Zhao, B Sun, P Liang, J Ye… - … Acta Part A: Molecular …, 2021 - Elsevier
Raman spectroscopy is a molecular vibrational spectroscopic technique has developed
rapidly in recent years, especially in rapid field detection. In this paper, we discuss the …

A new peak detection algorithm of Raman spectra

CZ Jiang, Q Sun, Y Liu, JQ Liang… - … and Spectral Analysis, 2014 - ingentaconnect.com
The authors proposed a new Raman peak recognition method named bi-scale correlation
algorithm. The algorithm uses the combination of the correlation coefficient and the local …

Research on the comprehensive evaluation method for the automatic recognition of Raman spectrum under multidimensional constraint

W Xue, B Chen, D Hong, J Yu, G Liu - Analytical Chemistry, 2022 - ACS Publications
Raman spectrum contains abundant substance information with fingerprint characteristics.
However, due to the huge variety of substances and their complex characteristic information …

拉曼光谱数据处理与定性分析技术研究

姜承志 - 2014 - ir.ciomp.ac.cn
Raman spectrum analysis technique is gaining a wider use in many fields such as food,
materials and environmental monitoring due to its advantages of non-destructive, rich …

How to achieve auto-identification in Raman analysis by spectral feature extraction & Adaptive Hypergraph

Y Xie, Q You, P Dai, S Wang, P Hong, G Liu… - … Acta Part A: Molecular …, 2019 - Elsevier
With the miniaturization of Raman spectrometers, Raman spectroscopy (including Surface-
enhanced Raman spectroscopy) has been widely applied to various fields, especially …

Morphology-based automated baseline removal for Raman spectra of artistic pigments

R Perez-Pueyo, MJ Soneira, S Ruiz-Moreno - Applied spectroscopy, 2010 - opg.optica.org
The interpretation of a Raman spectrum is based on the identification of its characteristic
molecular bands. However, the assignment of the vibrational modes is often compromised …

Deep learning-based Raman spectroscopy qualitative analysis algorithm: A convolutional neural network and transformer approach

Z Wang, Y Li, J Zhai, S Yang, B Sun, P Liang - Talanta, 2024 - Elsevier
Raman spectroscopy is a general and non-destructive detection technique that can obtain
detailed information of the chemical structure of materials. In the past, when using …

Automatic classification system of Raman spectra applied to pigments analysis

J González‐Vidal, R Pérez‐Pueyo… - Journal of Raman …, 2016 - Wiley Online Library
Raman spectroscopy is one of the few non‐destructive techniques capable of identifying
pigments in art works. Raman spectra contain powerful information that can be used to …

A novel pre-processing algorithm based on the wavelet transform for Raman spectrum

Y Xi, Y Li, Z Duan, Y Lu - Applied spectroscopy, 2018 - journals.sagepub.com
Noise and fluorescent background are two major problems for acquiring Raman spectra
from samples, which blur Raman spectra and make Raman detection or imaging difficult. In …

An automated algorithm of peak recognition based on continuous wavelet transformation and local signal-to-noise ratio

F Qian, Y Wu, P Hao - Applied Spectroscopy, 2017 - journals.sagepub.com
Raman peaks carry valuable information about constituent chemical bonds. Therefore, peak
recognition is a very essential part of spectral analysis. The fully automated peak recognition …