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In order to classify aflatoxin contaminated chili peppers from uncontaminated ones, a compact machine vision system based on hyperspectral imaging and machine learning is proposed.
In this paper new analytical inspection strategies, based on hyperspectral imaging (HSI) in the VIS NIR and NIR wavelength ranges (400 1000 and 1000 1700 nm, respectively), have been investigated and set up in order to define quality control logics that could be applied at industrial plant level for polyolefins recycling.
In this work we propose a new method of thickness measurement for semi-transparent coatings, based on hyperspectral imaging.
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Retrieval of leaf water status based on hyperspectral indices has been shown to be easy and rapid.
An innovative procedure to classify oat and groat kernels based on coupling hyperspectral imaging (HSI) in the near infrared (NIR) range (1006 1650 nm) and chemometrics was designed, developed and validated.
Based on the hyperspectral imaging model [5], the super-resolution task is cast as the inverse problem of recovering the original high-resolution images, based on reasonable assumptions or prior knowledge about the observation model that maps the high-resolution image to the low-resolution ones [7].
We also thank Enric Sala for providing underwater images of coral-algal interactions, and David Zawada and Resonon Inc. for advice on hyperspectral imaging.
The approach described in the paper for determining the phenology based on imaging hyperspectral RS data shows that in the process of plant phonological development a number of biochemical biophysical vegetation traits in vegetation change, which can be thoroughly recorded with hyperspectral remote sensing technology.
In this study, a step-wise pixel based apple bruise detection system based on line scan hyperspectral imaging (HSI) in the shortwave infrared (SWIR) is demonstrated for three apple cultivars: 'Jonagold', 'Kanzi' and 'Joly Red'.
into a hyperspectral imaging system based on imaging Fourier transform spectrometry to measure spatially-resolved reflectance spectra from turbid media.
An MSF is finally grown to segment the image using spatial and spectral information.The MSF based method with automatically selected bands proved to be accurate in determining the tumor boundary on hyperspectral images.Hyperspectral imaging combined with the proposed classification technique has the potential to provide a noninvasive tool for cancer detection.
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