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Full-Vector Gradient for Multi-Spectral or Multivariate Images
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DOI：10.1109/TIP.2018.2883794.png)
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Abstract
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.
Keywords:
Gradient
multi-spectral
Gram matrix
Di Zenzo
multivariate
color
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