Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Aspl{\"u}nd's metric defined in the Logarithmic Image Processing (LIP)
  framework for colour and multivariate images   Aspl{\"u}nd's metric, which is useful for pattern matching, consists in a
double-sided probing, i.e. the over-graph and the sub-graph of a function are
probed jointly. It has previously been defined for grey-scale images using the
Logarithmic Image Processing (LIP) framework. LIP is a non-linear model to
perform operations between images while being consistent with the human visual
system. Our contribution consists in extending the Aspl{\"u}nd's metric to
colour and multivariate images using the LIP framework. Aspl{\"u}nd's metric is
insensitive to lighting variations and we propose a colour variant which is
robust to noise.

13
The categories of this paper are: quant-ph
12
The categories of this paper are: nucl-th
35
The categories of this paper are: mtrl-th
22
The categories of this paper are: chao-dyn
15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
5
The categories of this paper are: gr-qc
8
The categories of this paper are: hep-ex
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
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The categories of this paper are: atom-ph
6
The categories of this paper are: astro-ph
9
The categories of this paper are: nlin
28
The categories of this paper are: alg-geom
23
The categories of this paper are: solv-int
7
The categories of this paper are: hep-th