The present invention enables highly accurate analysis when visualizing analysis results in spectral imaging.

An surface analysis method includes: acquiring spectral image data regarding a sample surface with use of a spectral camera; extracting n wavelengths dispersed in a specific wavelength range in the acquired spectral image data, and converting spectrums of the wavelengths in the spectral image data into n-dimensional spatial vectors for each pixel; normalizing the spatial vectors of the pixels; clustering the normalized spatial vectors into a specific number of classifications; and identifying and displaying pixels clustered into the classifications, for each of the classifications.

An article of manufacture comprises a surface that includes a first region and a surface treatment over the first region. The first region includes a depiction of a real-world object and the surface treatment exhibits a first light reflectance value. The real-world object exhibits a second light reflectance value, and the first light reflectance value is within 30 percent of the second light reflectance value. The article of manufacture may include an article of clothing or a durable good.

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 information processing device (200A, 200B, and 200C) according to the present disclosure includes a control unit (220, 220B, and 220C). The control unit (220, 220B, and 220C) acquires a captured image of a target imaged by a sensor. The captured image is an image obtained from reflected light of light emitted to the target from a plurality of light sources arranged at different positions, respectively. The control unit (220, 220B, and 220C) extracts a flat region from the captured image based on a luminance value of the captured image. The control unit (220, 220B, and 220C) calculates shape information regarding a shape of a surface of the target based on information regarding the sensor and the flat region of the captured image.

A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

A device may receive a classification model generated based on a set of spectroscopic measurements performed by a first spectrometer. The device may store the classification model in a data structure. The device may receive a spectroscopic measurement of an unknown sample from a second spectrometer. The device may obtain the classification model from the data structure. The device may classify the unknown sample into a Kosher or non-Kosher group or a Halal or non-Halal group based on the spectroscopic measurement and the classification model. The device may provide information identifying the unknown sample based on the classifying of the unknown sample.

A method for determining an optical pathlength through a cuvette of a spectrophotometric apparatus includes obtaining a first single beam spectrum of a liquid zero-material at least in a first energy region in which the liquid zero-material absorbs at least a portion of incident optical radiation; obtaining a second single beam spectrum of a second liquid at least in the first energy region, the second liquid having a composition excluding the liquid zero-material and having no absorption of incident optical radiation in the first energy region; determining a dual beam spectrum of the liquid zero-material relative to the second liquid at least in the first energy region from the first and second single beam spectra; and calculating an optical pathlength through the cuvette based on processing spectral information obtained from the first energy region of the determined dual beam spectrum.

Refractory anchoring devices include a main body and a mounting feature for mounting to a thermal vessel. The main body has the shape of two end-to-end Y's forming a central segment, branch segments extending from ends of the central segment, and extension segments extending from the branch segments, to collectively form four unenclosed cell openings that are semi-hexagonally shaped. Some embodiments include reinforcement segments extending into respective cell openings, voids extending through respective adjacent branch and extension segments, an underbody gap under the central segment, a single stud-welding stud for the mounting feature, and/or a collar-and-stud connection between the anchor main body and a stud-welding stud of the mounting feature. Refractory anchoring systems and methods include an array of the refractory anchoring devices arranged and mounted so that the unenclosed semi-hexagonal cell openings of adjacent anchoring devices cooperatively form substantially hexagonal cells.

In some examples, an apparatus can include a light transmitter, a light sensor aligned along a light transmittance axis of the light transmitter, an impeller positioned between the light transmitter and the light sensor. The impeller can in some examples include a blade to pass through the light transmittance axis during rotation of the impeller. The blade can in some examples be translucent to permit calibration of the light sensor based on a comparison of a first light sensor reading when the blade intersects the light transmittance axis and a second light sensor reading when the blade does not intersect the light transmittance axis.

A system for measuring chlorophyll concentration in a leaf sample includes a leaf-holding illuminator device with a main body containing a power source, a plurality of switchable light sources emitting light at different spectra (e.g., red and white light from a broadband light source), and a cap detachably secured to the main body using one or more fastening means. The leaf sample is interposed between the main body and the cap and held in place during imaging. The system includes a mobile electronic device having a camera configured to capture an image of the leaf illuminated by the plurality of switchable light sources, the mobile electronic device having wireless connectivity to a network and an application contained therein configured to transfer the images to a remote sever or computer via the network for data processing. A final chlorophyll index value is calculated based on the transferred images.