A spectral imaging system includes an objective lens system, an optical splitter, a dispersion system, and an optical combiner. The optical splitter is arranged to be in an optical path of an object being imaged through the objective lens system to provide an imaging optical path and a spectrometer optical path. The dispersion system is arranged in the spectrometer optical path. The optical combiner is arranged in the imaging optical path and a path of dispersed light from the dispersion system to combined dispersed light with a corresponding optical image of the object.

A spectral imaging system includes an objective lens system, an optical splitter, a dispersion system, and an optical combiner. The optical splitter is arranged to be in an optical path of an object being imaged through the objective lens system to provide an imaging optical path and a spectrometer optical path. The dispersion system is arranged in the spectrometer optical path. The optical combiner is arranged in the imaging optical path and a path of dispersed light from the dispersion system to combined dispersed light with a corresponding optical image of the object.

The present invention relates to the technical field of identification on adulterated meat, and in particular, to a method for identifying raw meat and high-quality fake meat based on a gradual linear array change of a component. The present invention spatially characterizes changing rules of featured components in the meat with the utilization of sensitivities of the visible/near-infrared spectral signals to changes of the components in the meat and the advantage that spectral scanning can acquire optical signals of the samples spatially and consecutively, further constructs the identification model according to differences in components and spectra of a region of interest in the hyperspectral image by taking a derivative for characterizing rates of change of the featured components.

An imaging system may include a housing having shape and size sufficient to receive an industrial tool inserted into the housing. The imaging system may further include a plurality of cameras and a plurality of light sources positioned within the housing in a manner to surround the industrial tool upon insertion of the industrial tool into the housing. The imaging system may include a processing unit to control operation of the cameras and light sources and adjust relative positions of the cameras and light sources in relation to the industrial tool to capture a plurality of images of relevant portions of the industrial tool. The plurality of images collectively reveals substantially all of the relevant portions of the industrial tool. A method and computer-readable medium are also disclosed.

An indicator and method of use thereof, and indicator system and method of use thereof are provided to determine the degree of an oxidative treatment. An indicator is incorporated into the oxidative treatment. The object and the indicator are subjected to the oxidative treatment. A discoloration of the indicator occurs based on an oxidation of the polymer by a process condition of the oxidative treatment oxidizing the polymer. The discoloration of the indicator is measured against a threshold color value to determine the degree of the oxidative treatment.

Provided is a method of correcting an error of an optical sensor including a light source and an image sensor, the method including emitting light to a material by driving the light source, acquiring an image of the material by the image sensor, and correcting an error of a distance between the light source and the image sensor of the optical sensor based on a gradation of the acquired image of the material.

Provided is a method of correcting an error of an optical sensor including a light source and an image sensor, the method including emitting light to a material by driving the light source, acquiring an image of the material by the image sensor, and correcting an error of a distance between the light source and the image sensor of the optical sensor based on a gradation of the acquired image of the material.

An integrated computing element for an optical computing device includes a flexible optical substrate. The integrated computing element also includes at least one optical thin film deposited on a first surface of the flexible optical substrate. The at least one optical thin film is configured to selectively pass fractions of electromagnetic radiation at different wavelengths.

An integrated computing element for an optical computing device includes a flexible optical substrate. The integrated computing element also includes at least one optical thin film deposited on a first surface of the flexible optical substrate. The at least one optical thin film is configured to selectively pass fractions of electromagnetic radiation at different wavelengths.

A method for detecting an ice on a road surface includes: providing a spectral imaging camera; recording a first reflectance (R1) of the surface at 0.545 to 0.565 μm using the spectral imaging camera; recording a second reflectance (R2) of the surface at 0.620 to 0.670 μm using the spectral imaging camera; recording a third reflectance (R3) of the surface at 0.841 to 0.876 μm using the spectral imaging camera; calculating an ice index based on the first reflectance, the second reflectance, and the third reflectance; providing a thermometer; recording a surface temperature of the surface using the thermometer; and detecting a presence of the ice on the surface based on the ice index and the surface temperature. A system for detecting an ice on a surface is also disclosed.