Image spectrum detection method and system

Abstract

The invention discloses an image spectrum detection method and system. The system comprises an imaging lens set, a DMD, imaging lenses, an area array CCD camera, a convergent lens set, an optical fiber coupler, an optical fiber, a fiber optical spectrometer and a processor. Both the CCD camera and the fiber optical spectrometer are connected to the processor. A micromirror in a micromirror device has the opening state and the closed state. Incident image signals transmit the imaging lens set to form incident light signals and then enter the micromirror device. When the micromirror in the micromirror device is in the closed state, reflecting light signals are imaged to the surface of the CCD camera through the imaging lenses; when the micromirror in the micromirror device is in the opening state, the light signals are reflected to the convergent lens set, converged to the optical fiber coupler, coupled to the optical fiber, and transmitted to the fiber optical spectrometer for spectrum measurement. The image spectrum detection system can be provided with any fiber optical spectrometer, broadband spectrum measurement is achieved, and the spectral resolution can be increased to 0.0001 order of magnitude through the image spectrum detection system according to the technical parameters of an existing commercial fiber optical spectrometer.

Description

technical field [0001] The present invention relates to the fields of spectral application, spectral imaging technology, microspectroscopy and image detection, and more specifically, to an image spectral detection method and system. Background technique [0002] Spectral detection and analysis technology has the advantages of no contact and no damage, and can detect the physical structure, chemical composition and other indicators of the measured object. It is an increasingly important research method in natural science. [0003] Spectral evaluation is based on point measurement, while image measurement is based on spatial characteristic changes, both have their own advantages and disadvantages. Combining the two thus yields the discipline of spectral imaging. Spectral imaging data is a massive data source that integrates maps and spectra. It contains image information and spectral information at the same time, and can give spectral intensity data of each pixel in each band...

AI Technical Summary

Problems solved by technology

[0004] As early as the 1960s, scholars proposed multispectral imaging technology, but this technology can only simply detect several bands in the visible light and near-infrared regions, and the spectral resolution is only on the order of Δλ / λ=0.1

Images