Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automated retinal vessel segmentation based on morphological
  preprocessing and 2D-Gabor wavelets   Automated segmentation of vascular map in retinal images endeavors a
potential benefit in diagnostic procedure of different ocular diseases. In this
paper, we suggest a new unsupervised retinal blood vessel segmentation approach
using top-hat transformation, contrast-limited adaptive histogram equalization
(CLAHE), and 2-D Gabor wavelet filters. Initially, retinal image is
preprocessed using top-hat morphological transformation followed by CLAHE to
enhance only the blood vessel pixels in the presence of exudates, optic disc,
and fovea. Then, multiscale 2-D Gabor wavelet filters are applied on
preprocessed image for better representation of thick and thin blood vessels
located at different orientations. The efficacy of the presented algorithm is
assessed on publicly available DRIVE database with manually labeled images. On
DRIVE database, we achieve an average accuracy of 94.32% with a small standard
deviation of 0.004. In comparison with major algorithms, our algorithm produces
better performance concerning the accuracy, sensitivity, and kappa agreement.

13
The categories of this paper are: quant-ph
0
The categories of this paper are: hep-ph
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
16
The categories of this paper are: stat
6
The categories of this paper are: astro-ph
5
The categories of this paper are: gr-qc
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
24
The categories of this paper are: dg-ga
25
The categories of this paper are: patt-sol
35
The categories of this paper are: mtrl-th
11
The categories of this paper are: hep-lat