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Introducing OpenTextile-NIR: Near-infrared hyperspectral imaging and photography dataset for optical identification of textiles. [PDF]
Sormunen T +3 more
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RETRACTION: Hyperspectral Imaging-Based Erythema Classification in Atopic Dermatitis. [PDF]
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Hyperspectral imaging for intraoperative brain tumor identification through fusion of spectral, textural, and spectral index features. [PDF]
Liu J +6 more
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Hyperspectral imaging as an objective diagnostic tool for secondary lymphedema in breast cancer patients. [PDF]
Weiss M +9 more
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Enhancing hyperspectral imaging
Nature Machine Intelligence, 2021Hyperspectral imaging can reveal important information without the need for staining. To extract information from this extensive data, however, new methods are needed that can interpret the spatial and spectral patterns present in the images.
Rohit Bhargava, Kianoush Falahkheirkhah
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Compressive Hyperspectral Imaging
Optica Imaging Congress (3D, COSI, DH, FLatOptics, IS, pcAOP), 2023Conventional hyperspectral cameras encounter a trade-off between spatial and spectral samplings while capturing an input scene. To address this problem, we propose two imaging systems: Hyperspectral Light Field Tomography (Hyper-LIFT) and Tunable Image Projection Spectrometry (TIPS).
Qi Cui, Liang Gao
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A hyperspectral image projector for hyperspectral imagers
SPIE Proceedings, 2007We have developed and demonstrated a Hyperspectral Image Projector (HIP) intended for system-level validation testing of hyperspectral imagers, including the instrument and any associated spectral unmixing algorithms. HIP, based on the same digital micromirror arrays used in commercial digital light processing (DLP*) displays, is capable of projecting
Joseph P. Rice +3 more
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