Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Automatic Segmentation of Retinal Vasculature   Segmentation of retinal vessels from retinal fundus images is the key step in
the automatic retinal image analysis. In this paper, we propose a new
unsupervised automatic method to segment the retinal vessels from retinal
fundus images. Contrast enhancement and illumination correction are carried out
through a series of image processing steps followed by adaptive histogram
equalization and anisotropic diffusion filtering. This image is then converted
to a gray scale using weighted scaling. The vessel edges are enhanced by
boosting the detail curvelet coefficients. Optic disk pixels are removed before
applying fuzzy C-mean classification to avoid the misclassification.
Morphological operations and connected component analysis are applied to obtain
the segmented retinal vessels. The performance of the proposed method is
evaluated using DRIVE database to be able to compare with other state-of-art
supervised and unsupervised methods. The overall segmentation accuracy of the
proposed method is 95.18% which outperforms the other algorithms.

29
The categories of this paper are: funct-an
31
The categories of this paper are: ao-sci
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
10
The categories of this paper are: q-bio
12
The categories of this paper are: nucl-th
36
The categories of this paper are: cmp-lg
11
The categories of this paper are: hep-lat
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
5
The categories of this paper are: gr-qc
4
The categories of this paper are: cond-mat
16
The categories of this paper are: stat
24
The categories of this paper are: dg-ga
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The categories of this paper are: alg-geom
33
The categories of this paper are: plasm-ph