Multispectral image acquiring method and system on basis of line scanning hyperspectral imaging

Abstract

The invention provides a multispectral image acquiring method on the basis of line scanning hyperspectral imaging. The method comprises the following steps of: presetting more than one characteristic wavelength for a sample to be detected; determining a relation between line numbers on a spectral axis of a camera and the wavelengths; by utilizing the more than one characteristic wavelength of the sample to be detected and the relation between the line numbers on the spectral axis of the camera and the wavelengths, calculating more than one line number on the spectral axis of the camera, which corresponds to the more than one characteristic wavelength; carrying out acquisition on the sample to be detected on a conveying device by a hyperspectral spectrometer and the camera, extracting line pixel information corresponding to the more than one line number from a two-dimensional matrix obtained by acquisition each time, and combining the line pixel information corresponding to the more than one line number in a plurality of two-dimensional matrices obtained by acquisition so as to obtain a multispectral image under multiple characteristic wavelengths. The method can implement acquisition of the multispectral image under the specific wavelengths.

Description

technical field [0001] The invention relates to the field of hyperspectral imaging, in particular to a method and system for acquiring multispectral images based on line-scanning hyperspectral imaging. Background technique [0002] In the field of non-destructive testing technology for the quality of agricultural and livestock products, multispectral image technology is widely used. For example, in the detection of fruit surface defects, because some defects such as damage are not obvious in RGB images, the detection effect of traditional color cameras is not ideal. Many scholars turn to visible light or near-infrared multi-spectral Image combination for such defect detection. [0003] At present, the method of multispectral image acquisition for the quality inspection of agricultural and livestock products mainly uses a multispectral camera based on optical prism spectroscopy, such as the Condor-1000MS55CCD camera of Quset Innovation Company, which uses the principle of pr...

AI Technical Summary

Problems solved by technology

For example, in the detection of fruit surface defects, because some defects such as damage are not obvious in RGB images, the detection effect of using traditional color cameras is not ideal. Many scholars turn to the use of visible light or near-infrared multi-spectral image combination for such defect detection

[0003] At present, the method of multispectral image acquisition for the quality inspection of agricultural and livestock products mainly uses a multispectral camera based on optical prism spectroscopy, such as the Condor-1000MS55CCD camera of Quset Innovation Company, which uses the principle of prism spectroscopy to make up to 5 CCDs The camera acquires beams from the same optical axis at the same time, but in general, the wavelengths of the five CCDs are fixed and lack flexibility. If the wavelength is changed, it needs to be re-customized, and the light attenuation effect of the prism splitting will reduce the quality of the image collected by the camera.

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