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Volume: 1 | Article ID: art00027
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Colour key-point detection
Hermine Chatoux
Noël Richard
Bruno Mercier
  DOI :  10.2352/issn.2694-118X.2020.LIM-02  Published Online :  September 2020
Abstract

A lot of image processing tasks require key-point detection. If grey-level approach are numerous, colour and hyper-spectral ones are scarce. In this paper, we propose a generic key-point detection for colour, multi and hyper-spectral images. A new synthetic database is created to compare key-point detection approaches. Our method improves detection when the image complexity increases.

Journal Title : London Imaging Meeting
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/issn.2694-118X.2020.LIM-02
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Hermine Chatoux, Noël Richard, Bruno Mercier, "Colour key-point detection"  in Proc. IS&T London Imaging Meeting 2020: Future Colour Imaging,  2020,  pp 114 - 118,  https://doi.org/10.2352/issn.2694-118X.2020.LIM-02

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Copyright © Society for Imaging Science and Technology 2020
75011771
London Imaging Meeting
2694-118X
2694-118x
Society for Imaging Science and Technology
10.2352/issn.2694-118X.2020.LIM-02
2694-118X(20200929)2020:1L.114;1-
s27.phd
/ist/lim/2020/00002020/00000001/art00027
Articles
Colour key-point detection
ChatouxHermine
RichardNoël
MercierBruno
29092020
2020
1
114
118
2020
A lot of image processing tasks require key-point detection. If grey-level approach are numerous, colour and hyper-spectral ones are scarce. In this paper, we propose a generic key-point detection for colour, multi and hyper-spectral images. A new synthetic database is created to compare key-point detection approaches. Our method improves detection when the image complexity increases.