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Imaging Optimization Drives Multispectral Apps

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TIM EMMERSON, PHOTONIC SCIENCE LTD.

Electro-optical systems that allow the hybridization of different imaging technologies can be seful, but may require a very complex integration effort. Challenges such as managing large amounts of real-time data and synchronizing multiple and differing imaging sensors can be overcome with emerging techniques and software development. Machine vision traditionally uses imaging methods that are both spectrally limited, and of a fixed resolution and aspect ratio. The spectral limitation is often defined by the chemical makeup of the sensor being used (at the long wavelength end) and the...Read full article

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    Published: October 2015
    Glossary
    machine vision
    Machine vision, also known as computer vision or computer sight, refers to the technology that enables machines, typically computers, to interpret and understand visual information from the world, much like the human visual system. It involves the development and application of algorithms and systems that allow machines to acquire, process, analyze, and make decisions based on visual data. Key aspects of machine vision include: Image acquisition: Machine vision systems use various...
    hyperspectral imaging
    Hyperspectral imaging is an advanced imaging technique that captures and processes information from across the electromagnetic spectrum. Unlike traditional imaging systems that record only a few spectral bands (such as red, green, and blue in visible light), hyperspectral imaging collects data in numerous contiguous bands, covering a wide range of wavelengths. This extended spectral coverage enables detailed analysis and characterization of materials based on their spectral signatures. Key...
    chromatic aberration
    Chromatic aberration is an optical phenomenon that occurs when different wavelengths (colors) of light are refracted by a lens or optical system, leading to a failure to focus all colors to the same convergence point. This results in colored fringes or halos around the edges of objects, reducing the overall image quality and sharpness. Key points about chromatic aberration include: Cause: Chromatic aberration arises because different colors of light have different refractive indices when...
    camerasCMOSFeatureslensesmachine visionSensors & DetectorsImagingdetectorsOpticsEuropescintillation technologiesInGaAsGePbhyperspectral imagingmonospectral imagingsCMOSchromatic aberrationCPUGPUPhotonic Science Ltd.

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