Abstract:
Systems, methods, and computer readable media for hyperspectral imaging are provided. An example hyperspectral imaging sensor system to identify item composition includes an imager to capture hyperspectral imaging data of one or more items with respect to a target. The example includes a sensor to be positioned with respect to the target to trigger capture of the image data by the imager based on a characteristic of the target. The example includes a processor to prepare the captured imaging data for analysis to at least: identify the one or more items; determine composition of the one or more items; calculate an energy intake associated with the one or more items; and classify the target based on the energy intake.
Abstract:
Hyperspectral detector systems and methods for spectrally analyzing a scene are disclosed. The methods include capturing a context image and a single-column spectral image that falls within the context image. The spectral image is panned over the scene and within the context image to capture spectral signatures within the scene. The spectral signatures are compared to reference spectral signatures, and the locations of the one or more spectral signatures are marked. The systems and methods obviate the need to store and process large amounts of spectral data and allow for real-time display of the fused context image and spectral image, along with the marked locations of matched spectral signatures.
Abstract:
Feature extraction of image data using feature extraction modules. The feature extraction modules may be provided in an architecture that allows for modular, decoupled generation and/or operation of the feature extraction modules to generate feature data corresponding to image data. In this regard, the feature extraction modules may communicate with a file system storing image data and feature data by way of a common interface format. Accordingly, regardless of the nature of the execution of the feature extraction module, each feature extraction module may be communicative by way of the common interface format, thereby providing a modular approach that is highly scalable, flexible, and adaptive.
Abstract:
L'invention concerne un dispositif (2) et un procédé d'imagerie bi-spectral multifonctions comportant une acquisition d'une pluralité d'images bi-spectrales (IBM), chaque image bi-spectrale étant la combinaison de deux images acquises (l M1 , l M2 ) dans deux bandes spectrales différentes, et une génération d'une pluralité d'images donnant chacune une impression de profondeur par combinaison des deux images acquises (l M1 , l M2 ) et formant une information d'imagerie. Le procédé comprend des traitements simultanés de la pluralité d'images bi- spectrales pour générer en plus de l'information d'imagerie une information de veille et/ou une information de départ de menaces, comportant les étapes suivantes : - rechercher des signatures spectrales et temporelles particulières, associée à une menace particulière, dans la pluralité d'images bi-spectrales; et - détecter un objet particulier sur chaque image bi-spectrale, et générer un suivi temporel de la position de l'objet sur la pluralité d'images dans chaque bande spectrale, la détection et le suivi de l'objet formant l'information de veille.
Abstract:
A method for reducing dimensionality of hyperspectral images may include receiving a hyperspectral image having a plurality of pixels. A basis vector set including a number of members may then be established, wherein each of the members comprises a basis vector. For each of the plurality of pixels, a spectral vector for the pixel may be read and decomposed with the members of the basis vector set to derive a residual vector for the pixel. A basis vector for the pixel may then be added to the members of the basis vector set if the residual vector for the pixel has a magnitude exceeding a predetermined threshold, and the basis vector set may then be optimized to eliminate one of the members of the basis vector set, whereby the optimized basis vector set includes the number of members. A system configured to perform the method may also be provided.
Abstract:
In an image processing system a processor is configured to perform an image processing method. The method performs receiving a spectral image of a person's skin and identifying the person based on the received spectral image of the person's skin and skin reflectance information.
Abstract:
A system to identify at least a property of a substance located in an object, or located on a surface of the object, is generally described. The system may include an electromagnetic radiation (EMR) source arranged to selectively emit EMR at more than one wavelength to illuminate the surface of the object.
Abstract:
Hyperspectral detector systems and methods for spectrally analyzing a scene are disclosed. The methods include capturing a context image and a single-column spectral image that falls within the context image. The spectral image is panned over the scene and within the context image to capture spectral signatures within the scene. The spectral signatures are compared to reference spectral signatures, and the locations of the one or more spectral signatures are marked. The systems and methods obviate the need to store and process large amounts of spectral data and allow for real-time display of the fused context image and spectral image, along with the marked locations of matched spectral signatures.
Abstract:
Provided is a method for monitoring a manufacturing process of an agricultural product. The method utilizes hyperspectral imaging and comprises scanning at least one region along a sample of agricultural product using at least one light source of a single or different wavelengths; generating hyperspectral images from the at least one region; determining a spectral fingerprint for the sample of agricultural product from the hyperspectral images; and comparing the spectral fingerprint so obtained to a spectral fingerprint database containing a plurality of fingerprints obtained at various points of the manufacturing process, using a computer processor, to determine which point in the manufacturing process the sample has progressed to.
Abstract:
A method and system for spectral demultiplexing of fluorescent species, such as quantum dots, conjugated with a biological tissue. The process of demultiplexing involves a non- liner regression based on curve-fitting of estimated spectra of the quantum dots and confidence intervals describing the parameters of such fitting curve for typical quantum dots.