Spectrum extraction method and device for hyperspectral collection system

Abstract

The invention discloses a spectrum extraction method and device for a hyperspectral collection system, and the hyperspectral collection system comprises a slit, a smartphone, a light-splitting module, and a collimating module. The method comprises the steps: providing various types of monochromatic light through a monochromator, enabling the monochromatic light to reach the collimating module through the slit and becomes parallel light, enabling the parallel light to irradiate the light-splitting module, to pass through a convergence lens, and to pass through a camera lens of the smartphone and finally to be converged at the array detector, and obtaining a plurality of RGB images; obtaining the brightest point in each of the RGB images, enabling the brightest points to serve as the positions of spectrum lines, and determining the displacement values of all spectrum lines through employing an interpolation method; enabling a collected RGB image of a real object to be converted into a gray-scale image, and then plotting a spectrum curve through combining with the displacement values of all spectrum lines; carrying out the compensatory plotting of the spectrum curve according to the actual spectral transmittance through employing a curve fitting algorithm, and obtaining the actual spectrum curve. The method can complete the high-precision extraction of a spectrum, is simple in algorithm, is high in accuracy, and is of great significance to the development of spectral imaging.

Description

technical field [0001] The invention relates to the technical field of image acquisition, in particular to a spectrum extraction method and device for a hyperspectral acquisition system. Background technique [0002] An important research direction in computational photography is to extend the traditional imaging technology in the spectral domain, that is, hyperspectral technology. Most current imaging photography technologies record scene images based on red, green, and blue three-color information. Although three-color sensing imaging technology meets the imaging requirements of the human visual system, from the perspective of physical principles, real scenes are not Only three-color information is so simple. The light emitted from a light source or reflected by an object has abundant wavelengths, among which visible light covers a wide area from 390nm to 780nm, and contains a large amount of information. Scene light spectrum refers to the distribution of light intensity...

AI Technical Summary

Problems solved by technology

[0003] The research on traditional spectrometers has been relatively mature, and the spectral resolution has been made very high, but the huge volume, harsh use conditions, and high price are important factors hindering its application range. The current traditional spectrometers are still only available in used in laboratory

Images