A Universal Raman Spectral Feature Extraction Method for Machine Learning Substance Recognition Algorithms
A technology of Raman spectroscopy and machine learning, applied in the field of Raman spectroscopy, can solve the problems of poor feature classification and loss of peak signal strength information, and achieve the effect of improving classification accuracy and strong versatility
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0038] The following embodiments will further illustrate the present invention in conjunction with the accompanying drawings.
[0039] The present invention comprises the following steps:
[0040] The first step: automatic preprocessing of the spectrum: eliminating noise and subtracting fluorescent background;
[0041] In actual testing, Raman spectrum samples are usually expressed in the form of two-dimensional data, where the abscissa is the wave number, and the ordinate is the spectral signal intensity corresponding to the wave number. Raman spectroscopy sample collection is often affected by many factors, such as the fluorescence background (the main factor) generated by the laser, the burr peaks generated by the radiation, and the inherent noise of the instrument. In order to perform accurate substance identification on Raman spectroscopy, the influence of these factors must be eliminated as much as possible. The present invention uses an automatic spectral preprocessin...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com