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Hyperspectral imaging (HSI), known also as chemical or spectroscopic imaging, is an emerging platform technology that integrates conventional imaging and spectroscopy to attain both spatial and spectral information from an object. Although hyperspectral imaging was originally developed for remote sensing, it recently has gained wide recognition as a non-destructive and fast quality and safety analysis and assessment method for a wide range of food products. This book discusses hyperspectral imaging data processes and its application in food products, as well as the use of HSI for detecting cha

Multispectral imaging. --- Imaging, Multispectral --- MSI (Multispectral imaging) --- Multiband photography --- Multispectral photography --- Multispectral scanning --- Scanning, Multispectral --- Spectral imaging

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This dissertation by Maria Ewerlöf focuses on the use of multispectral imaging to measure hemoglobin oxygen saturation in the skin. It explores the potential of multispectral diffuse reflectance imaging to provide detailed spatial and temporal data on skin optical parameters, particularly for clinical applications like monitoring wound healing. The study investigates reducing the number of wavelengths needed for effective analysis, using Monte Carlo simulations and artificial neural networks (ANNs) to enhance data processing efficiency. The results indicate that the ANN approach significantly reduces analysis time, allowing real-time clinical diagnostics.

Multispectral imaging. --- Hemoglobin.

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Multispectral imaging. --- Computer vision.

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On behalf of persons responsible for the IVSP Conference, I deeply appreciate your attendance at the conference. It is great pleasure for me to meet together and share the new ideas on opening questions and exciting results with all the great scientists, undergraduate, postgraduate, PhD students, postdoctoral fellows, researchers, engineers, academicians as well as industrial professionals from all over the world who are interested in Image, Video and Signal Processing and its current applications.

Computer vision. --- Multispectral imaging.

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Multispectral imaging. --- Computer vision.