Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Image decomposition with anisotropic diffusion applied to leaf-texture
  analysis   Texture analysis is an important field of investigation that has received a
great deal of interest from computer vision community. In this paper, we
propose a novel approach for texture modeling based on partial differential
equation (PDE). Each image $f$ is decomposed into a family of derived
sub-images. $f$ is split into the $u$ component, obtained with anisotropic
diffusion, and the $v$ component which is calculated by the difference between
the original image and the $u$ component. After enhancing the texture attribute
$v$ of the image, Gabor features are computed as descriptors. We validate the
proposed approach on two texture datasets with high variability. We also
evaluate our approach on an important real-world application: leaf-texture
analysis. Experimental results indicate that our approach can be used to
produce higher classification rates and can be successfully employed for
different texture applications.

8
The categories of this paper are: hep-ex
33
The categories of this paper are: plasm-ph
32
The categories of this paper are: atom-ph
34
The categories of this paper are: chem-ph
11
The categories of this paper are: hep-lat
6
The categories of this paper are: astro-ph
35
The categories of this paper are: mtrl-th
27
The categories of this paper are: comp-gas
7
The categories of this paper are: hep-th
0
The categories of this paper are: hep-ph
31
The categories of this paper are: ao-sci
17
The categories of this paper are: q-fin
21
The categories of this paper are: adap-org
23
The categories of this paper are: solv-int
5
The categories of this paper are: gr-qc
25
The categories of this paper are: patt-sol