SELF-CALIBRATION METHOD FOR TUNEABLE FABRY-PEROT CAVITY AND SPECTRUM ACQUISITION DEVICE HAVING SELF-CALIBRATION FUNCTION

    公开(公告)号:US20220099493A1

    公开(公告)日:2022-03-31

    申请号:US17425643

    申请日:2019-11-19

    Inventor: Bin GUO

    Abstract: A filter is irradiated with incident light, and calibrated light with a fixed wavelength is obtained after the incident light is transmitted through a calibration filter film on the filter; the calibrated light is selected and transmitted via the Fabry-Perot cavity, and selected light is obtained after the calibrated light is transmitted through the Fabry-Perot cavity; an image chip is irradiated with the selected light for imaging, and an output signal is obtained. When the selected wavelength of the tuneable Fabry-Perot cavity matches the wavelength of the calibrated light transmitted by the calibration filter film at a certain position, light at the position is selected and reaches the imaging chip, and the output signal of the imaging chip at the corresponding position can be used as a detection signal for self-calibration, which does not affect normal imaging at other positions on the filter besides the calibration filter film.

    METHOD AND DEVICE FOR RESTORING AND RECONSTRUCTING A SPECTRUM OF A LIGHT SOURCE BASED ON A HYPERSPECTRAL IMAGE

    公开(公告)号:US20220326078A1

    公开(公告)日:2022-10-13

    申请号:US17608127

    申请日:2020-09-08

    Abstract: A method and device for restoring and reconstructing a light source spectrum based on a hyperspectral image are provided. A hyperspectral image is processed to obtain a first maximum spectrum. The first maximum spectrum is matched with a light source spectral basis vector set in a light source spectrum dictionary, and a linear decomposition is performed to obtain a dictionary set. The maximum value of each waveband is obtained and iterative approximation is performed. Therefore, it can quickly restore the spectrum of the light source of the shooting environment from a single hyperspectral image using a relatively simple calculation process, and can still achieve a good restoration effect for monochromatic image scenes or image scenes with few colors, even close to the real light source spectrum. After the light source spectrum is obtained, this information can be further utilized for different kinds of applications.

    SYSTEM AND METHOD FOR TESTING A SPECTRAL RESPONSE SPEED OF A TUNABLE FILTER

    公开(公告)号:US20220187127A1

    公开(公告)日:2022-06-16

    申请号:US17425644

    申请日:2020-07-09

    Abstract: A system for testing a spectral response speed of a tunable filter is disclosed, which includes a collimating light source, a beam splitting element, a focusing lens, and an image recording device of light spot position arranged successively. The tunable filter is disposed between the collimating light source and the beam splitting element and configured to be continuously tuned within a certain wavelength range during testing. The beam splitting element is used to form light beams of different wavelength bands passing through the tunable filter into diffracted beams or refracted beams corresponding to different wavelength bands. The focusing lens is used to perform focusing. The image recording device of light spot position is used to record change information about positions where the diffracted beams or refracted beams corresponding to different wavelength bands are imaged.

    METHOD AND SYSTEM FOR PERFORMING POINT-TO-POINT WHITE REFERENCE CORRECTION ON HYPERSPECTRAL IMAGE

    公开(公告)号:US20250037312A1

    公开(公告)日:2025-01-30

    申请号:US18717219

    申请日:2023-01-30

    Abstract: A method for performing point-to-point whiteboard parameter ratio correction on a hyperspectral image includes: capturing hyperspectral data of a standard reference whiteboard in advance as white(x,y,w), and storing the records, then captures hyperspectral data of a sample as sample(x,y,w); then selecting an unobstructed and unshaded whiteboard area within a certain range of the hyperspectral data sample(x,y,w) of the test sample, and labeling the area as Area A; calculating a spectral average of the ROI on the sample image as SA(w); calculating a spectral average of whiteboard data in the same position as the ROI as WA(w); dividing the two spectral averages, and obtaining a correction coefficient alpha(w)=WA(w)./SA(w); multiplying the whiteboard parameter ratio correction coefficient alpha(w) by a sample reflectance image matrix after whiteboard parameter ratio correction to obtain a final hyperspectral reflectance image matrix REFL(x,y,w)=alpha(w).*sample(x,y,w)./white(x,y,w).

    METHOD FOR EXTRACTING SPECTRAL INFORMATION OF A SUBSTANCE UNDER TEST

    公开(公告)号:US20220207856A1

    公开(公告)日:2022-06-30

    申请号:US17603318

    申请日:2020-03-30

    Abstract: A method for extracting spectral information of a substance under test includes: identifying a pixel region A(x, y) occupied by an object under test from a hyperspectral image acquired; extracting a specular reflection region Aq and a diffuse reflection region Ar from the pixel region A(x, y), and calculating a representative spectrum Iq(ω) of the specular reflection region Aq and a representative spectrum Ir(ω) of the diffuse reflection region Ar, respectively; by comparing each element in the representative spectrum Iq(ω) of the specular reflection region Aq with each element in the representative spectrum Ir(ω) of the diffuse reflection region Ar, separating information of a light source from spectral information of the object to obtain a first spectral invariant C(ω). This method does not require additional spectral information of the light source, which improves the analysis efficiency.

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