Black frame calibration method and system for hyperspectral image and black frame correction method and system for hyperspectral image

Abstract

The invention discloses a black frame calibration method and system for a hyperspectral image and a black frame correction method and system for a hyperspectral image. The black frame calibration method for the hyperspectral image comprises the steps of: carrying out black frame collection on a shooting wave band at the same test temperature and different exposure time, carrying out black frame collection on different test temperature sequences at the initial exposure time so as to obtain a corresponding black frame data set; and obtaining a wavelength dimension average value and an image dimension average value from the black frame data set on the basis of the image dimension and the wavelength dimension, fitting the wavelength dimension average value and the image dimension average value respectively based on the exposure time and initial test temperature, and keeping the wavelength dimension average value and the image dimension average value at the initial exposure time and the initial test temperature; and obtaining a complete hyperspectral black frame image sequence matrix by using the parameters, and deducting the product of the hyperspectral black frame image sequence matrix and digital gain from the hyperspectral image to obtain a corrected hyperspectral image. According to the methods and the systems, the time of repeatedly shooting the black frame each time can be saved, and meanwhile, the space occupied by storage can be greatly reduced.

Description

technical field [0001] The present invention relates to the technical field of hyperspectral imaging and spectral analysis, and particularly relates to a black frame calibration and correction method and system for hyperspectral images. Background technique [0002] Hyperspectral imaging technology can obtain image information and spectral information at the same time, combined with machine vision technology to discriminate objects, and can also perform spectral analysis relying on spectrum, which is a new technology with great potential. The spectral analysis capability of hyperspectral imaging technology comes from the fact that hyperspectral can collect spectral information emitted by substances at different wavelengths, and these spectral information directly reflect the physical and chemical composition of objects and other information; combined with image recognition, selection and other information, hyperspectral imaging The technology can realize the complete automat...

AI Technical Summary

Problems solved by technology

However, the hyperspectral image itself has a large amount of shooting data, and the shooting takes a relatively long time. If the black frame of the sensor is not processed by hardware means, but needs to be corrected by real-time shooting, since each band needs to deduct its own black frame, the overall will be Takes twice as long and doubles the amount of data stored

At the same time, since the exposure time may change, the black frame cannot be stored in advance, because considering different exposure times, the amount of data that may exist will be extremely large

Even if only the black frame data of the same exposure time is considered and stored, it will consume a lot of storage space

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