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Full-Vector Gradient for Multi-Spectral or Multivariate Images

delete2019-05-01
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H
Hermine Chatoux *
N
Noël Richard
F
François Lecellier
C
Christine Fernández-Maloigne
DOI:10.1109/TIP.2018.2883794delete
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摘要

摘要

En 中文
Gradient extraction is important for a lot of metrological applications, such as control quality by vision. In this paper, we propose a full-vector gradient for multi-spectral sensors. The full-vector gradient extends Di Zenzo expression to take into account the non-orthogonality of the acquisition channels thanks to a Gram matrix. This expression is generic and independent from channel count. Results are provided for a color and a multi-spectral snapshot sensor. Then, we show the accuracy improvement of the gradient calculation by creating a dedicated objective test and from real images.
Keyword:
Gradient
multi-spectral
Gram matrix
Di Zenzo
multivariate
color
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期刊

IEEE Transactions on Image Processing 封面图
IEEE Transactions on Image Processing
IF:
13.7
论文数:
1.0W
被引数:
8.4W

机构

U
universite de poitiers
学者数:
7.1K
论文数: 5.0K
被引数: 5
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