A method of measuring the color of a surface may include a device positioned above the surface. The device may include an optical sensor and a display screen. The optical sensor measures visible light level reflected from the surface in a plurality of spectral channels. A plurality of patterns are sequentially displayed on the display screen. The optical sensor is used to measure light reflected by the surface during display of each pattern. A value is determined for the distance from the optical sensor to the illuminated region for a first local maximum of intensity of the measured light reflected by the surface. A location in a color space corresponding to a color of the surface or a reflectance spectrum of the surface is determined based on the visible light level in each spectral channel for the value of the distance corresponding to the first local maximum.

A light detecting device is provided with: a filter array including filters arranged two-dimensionally, each of the filters having a light-incident surface and a light-emitting surface, the filters including multiple types of filters having mutually different transmission spectra; and an image sensor having a light-detecting surface facing the light-emitting surface, the image sensor being provided with light-detecting elements arranged two-dimensionally on the light-detecting surface, wherein the distance between the light-emitting surface and the light-detecting surface is different for each of the filters.

A spectroscopic module includes a plurality of beam splitters; a plurality of bandpass filters disposed on one side in a Z direction with respect to the plurality of beam splitters; a light detector disposed on the one side in the Z direction with respect to the plurality of bandpass filters and includes a plurality of light receiving regions; a first support body supporting the plurality of beam splitters; a second support body supporting the plurality of bandpass filters; and a casing including a third wall portion integrally formed with the second support body. The first support body is attached to the third wall portion such that an outer surface of the first support body is in contact with an inner surface of the third wall portion in a state where the position is defined by a plurality of positioning pins and a plurality of positioning holes.

A spectroscopic module includes a plurality of beam splitters; a plurality of bandpass filters disposed on one side in a Z direction with respect to the plurality of beam splitters; a light detector disposed on the one side in the Z direction with respect to the plurality of bandpass filters and includes a plurality of light receiving regions; a first support body supporting the plurality of beam splitters; a second support body supporting the plurality of bandpass filters; and a casing including a third wall portion integrally formed with the second support body. The first support body is attached to the third wall portion such that an outer surface of the first support body is in contact with an inner surface of the third wall portion in a state where the position is defined by a plurality of positioning pins and a plurality of positioning holes.

A compact spectrometer is disclosed that is suitable for use in mobile devices such as cellular telephones. In preferred embodiments, the spectrometer comprises a filter, at least one Fourier transform focusing element, a micro-lens array, and a detector, but does not use any dispersive elements. Methods for using the spectrometer as an end-user device for performing on-site determinations of food quality, in particular, by comparison with an updatable database accessible by all users of the device, are also disclosed.

A compact spectrometer is disclosed that is suitable for use in mobile devices such as cellular telephones. In preferred embodiments, the spectrometer comprises a filter, at least one Fourier transform focusing element, a micro-lens array, and a detector, but does not use any dispersive elements. Methods for using the spectrometer as an end-user device for performing on-site determinations of food quality, in particular, by comparison with an updatable database accessible by all users of the device, are also disclosed.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

The present disclosure relates to methods and systems for obtaining image information of an organism including a set of optical data; calculating a growth index based on the set of optical data; and calculating an anticipated harvest time based on the growth index, where the image information includes at least one of: (a) visible image data obtained from an image sensor and non-visible image data obtained from the image sensor, and (b) a set of image data from at least two image capture devices, where the at least two image capture devices capture the set of image data from at least two positions.

A user device for imaging a scene includes a first plurality of optical sensors coupled to a substrate for collecting an image of a scene and a second plurality of optical sensors coupled to the substrate for collecting spectral information from the image. A plurality of sets of interference filters are associated with the second plurality of optical sensors, where each interference filter of a set of interference filters is configured to pass light in one of a plurality of wavelength ranges to one or more optical sensors of the second plurality of optical sensors and each optical sensor of the plurality of optical sensors is associated with a spatial area of the image. A processor is adapted to receive an output from the first plurality of optical sensors and the second plurality of optical sensors and determine, based on the spectral information, a target area within the scene. The processor is further adapted to retrieve focus data for the scene, determine a focus distance for the target area and output user-perceptible information to an output display.

A processing apparatus is connected to one or more terminals including a hyperspectral sensor that generates compressed image data which is hyperspectral information of a target compressed as two-dimensional image information over a network. The processing apparatus includes a storage device that stores data sets of samples and a first reconstruction table for generating hyperspectral data from the compressed image data, the data set of each sample includes hyperspectral data of the sample and data indicative of a property value of the sample; and a processing circuit that generates a statistical model for estimating the property value from the hyperspectral data on the basis of the data sets of the samples and generates a second reconstruction table by editing the first reconstruction table in accordance with the statistical model thus generated.