Abstract: An image capture device, such as a smartphone or point of sale scanner, is adapted for use as an imaging spectrometer, by synchronized pulsing of different LED light sources as different image frames are captured by the image sensor. A particular implementation employs the CIE color matching functions, and/or their orthogonally transformed functions, to enable direct chromaticity capture. These and various other configurations of spectral capture devices are employed to capture spectral images comprised of spectral vectors having multi-dimensions per pixel. These spectral images are processed for use in object identification, classification, and a variety of other applications. Particular applications include produce (e.g., fruit or vegetable) identification. A great variety of other features and arrangements are also detailed.

Abstract: Techniques are disclosed for systems and methods using infrared imaging modules to image and detect phase transitions of water, such as ice formation, in a scene. An ice formation detection system may include one or more infrared imaging modules, a logic device, and a communication module. The infrared imaging modules may be positioned to image a scene in which ice formation is to be detected. The logic device may be adapted to process captured infrared images to detect ice formation in the scene. The logic device may also be adapted to use the communication module to report detected ice formation to an indicator, a display, a user interface, and/or an ice formation mitigation system.

Abstract: An image capture device, such as a smartphone or point of sale scanner, is adapted for use as an imaging spectrometer, by synchronized pulsing of different LED light sources as different image frames are captured by the image sensor. A particular implementation employs the CIE color matching functions, and/or their orthogonally transformed functions, to enable direct chromaticity capture. These and various other configurations of spectral capture devices are employed to capture spectral images comprised of spectral vectors having multi-dimensions per pixel. These spectral images are processed for use in object identification, classification, and a variety of other applications. Particular applications include produce (e.g., fruit or vegetable) identification. A great variety of other features and arrangements are also detailed.

Abstract: Techniques are disclosed for systems and methods using infrared imaging modules to image and detect phase transitions of water, such as ice formation, in a scene. An ice formation detection system may include one or more infrared imaging modules, a logic device, and a communication module. The infrared imaging modules may be positioned to image a scene in which ice formation is to be detected. The logic device may be adapted to process captured infrared images to detect ice formation in the scene. The logic device may also be adapted to use the communication module to report detected ice formation to an indicator, a display, a user interface, and/or an ice formation mitigation system.

Abstract: Systems, including apparatus and methods, for obtaining and/or correcting images, particularly from atmospheric and/or other distortions. These corrections may involve, among others, determining corrective information in a first (e.g., visible) wavelength regime, and then applying the corrective information in a second (e.g., longer) wavelength regime, such as infrared (IR) or millimeter-wave (MMW) wavelengths, in real time or with post-processing. For example, these corrections may include scaling a phase diversity correction from one wavelength to another. These systems may be useful in any suitable imaging context, including navigation, targeting, search and rescue, law enforcement, and/or surveillance, among others.