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Spectrum recover method based on Laplacian-Markov field

A recovery method and spectrum technology, applied in the direction of material excitation analysis, instrumentation, calculation, etc., can solve problems such as low resolution, achieve the effect of recovery resolution, recovery noise suppression ability, and strong practical value

Active Publication Date: 2013-06-05
HUAZHONG UNIV OF SCI & TECH
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Problems solved by technology

[0004] The present invention provides a spectrum restoration method based on the Laplacian-Markov field, which solves the problem that the Raman spectrum data measured by the spectrometer is often affected by random noise and instrument error, etc. resulting in low resolution

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  • Spectrum recover method based on Laplacian-Markov field
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  • Spectrum recover method based on Laplacian-Markov field

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Embodiment Construction

[0043] Below in conjunction with accompanying drawing and example the present invention is described in further detail.

[0044] For the Raman spectrum data curve, not all data have the same impact on the data after being disturbed. The wave number with gentle intensity change is greatly affected by noise, while the wave number with drastic intensity change is affected by noise. Less affected. If the adaptive processing is carried out according to the difference of the intensity change, the balance between the recovery resolution and the noise suppression ability can be achieved. Therefore, the present invention proposes a spectral deconvolution method with data weighting. Data weighting adopts different constraints according to different intensity changes, and adopts stronger constraints in places where the intensity changes are gentle to suppress noise; Stronger places take weaker constraints, preserving fine spectral details. On the other hand, the Laplacian-Markov prior ...

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Abstract

The invention discloses a spectrum recover method based on the Laplacian-Markov field. The a spectrum recover method based on the Laplacian-Markov field comprises the following steps: conducting normalization processing on discretized spectrum to obtain normalized spectrum intensity; calculating a first derivative of the normalized spectrum intensity; calculating a neighborhood standard deviation of each normalized sectrum fi, finding out a maximum standard deviation and a minimum standard deviation, constructing a weighting matrix according to maximum standard deviation and the minimum standard deviation; and using the Laplacian-Markov field, and solving a raman spectrum deconvolution and split Bregman iteration method. The spectrum recover method based on the Laplacian-Markov field suppresses noise in places gentle in intensity change, adopts weak reatrain to store detail of the spectrum in places drastic in intensity change, achieves balance of recover resolution ratio and noise compress capability, introduces the split Bregman iteration method to overcome indifferentiable problem of conventional gradient descenting method, and provides technical support for application of the raman spectrum in quality detection, material analysis and the like.

Description

technical field [0001] The invention belongs to the technical field of Raman spectrum data processing, and specifically relates to a method for recovering degraded Raman spectrum by using Laplacian-Markov (Laplacian-Markov) field, deconvolution and split Bregman iterative method. Raman spectroscopy provides technical support in quality testing and material analysis. Background technique [0002] In recent years, people's research on Raman spectroscopy has been quite active, making Raman spectroscopy widely used in food quality monitoring, rapid chemical detection, material analysis, and biomedicine. However, spectral data are often affected by factors such as natural broadening of spectral lines, collision broadening, low-pass characteristics of detectors and circuits during spectrometer measurement, resulting in strong noise and subband overlap in spectral data. These noise interferences bring difficulties to the application of spectroscopy, and even lead to serious identi...

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Application Information

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IPC IPC(8): G01N21/65G06F17/50
Inventor 张天序李姣颜露新刘海朱虎马金凤张力彭凡
Owner HUAZHONG UNIV OF SCI & TECH
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