Pairwise Markov fields for segmentation in astronomical hyperspectral images Article Swipe

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Jean‐Baptiste Courbot , Vincent Mazet , Emmanuel Monfrini , Christophe Collet ·

YOU? · · 2019 · Open Access · · DOI: https://doi.org/10.1016/j.sigpro.2019.05.005

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Segmentation Fault

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Segmentation Hyperspectral imaging Artificial intelligence Pairwise comparison Computer science Pattern recognition (psychology) Image segmentation Bayesian probability Computer vision Markov chain Markov random field Scale-space segmentation Noise (video) Image (mathematics) Machine learning

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.sigpro.2019.05.005
PDF: https://www.sciencedirect.com/science/article/am/pii/S016516841930163X?via%3Dihub
OA Status: bronze
Cited By: 11
References: 35
Related Works: 10
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DOI: https://doi.org/10.1016/j.sigpro.2019.05.005

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Title: Pairwise Markov fields for segmentation in astronomical hyperspectral images

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Type: article

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Language: en

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Publication year: 2019

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Publication date: 2019-05-07

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Authors: Jean‐Baptiste Courbot, Vincent Mazet, Emmanuel Monfrini, Christophe Collet

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Landing page: https://doi.org/10.1016/j.sigpro.2019.05.005

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PDF URL: https://www.sciencedirect.com/science/article/am/pii/S016516841930163X?via%3Dihub

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Concepts: Segmentation, Hyperspectral imaging, Artificial intelligence, Pairwise comparison, Computer science, Pattern recognition (psychology), Image segmentation, Bayesian probability, Computer vision, Markov chain, Markov random field, Scale-space segmentation, Noise (video), Image (mathematics), Machine learning

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Cited by: 11

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