Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Study of Efficient Technique Based On 2D Tsallis Entropy For Image
  Thresholding   Thresholding is an important task in image processing. It is a main tool in
pattern recognition, image segmentation, edge detection and scene analysis. In
this paper, we present a new thresholding technique based on two-dimensional
Tsallis entropy. The two-dimensional Tsallis entropy was obtained from the
twodimensional histogram which was determined by using the gray value of the
pixels and the local average gray value of the pixels, the work it was applied
a generalized entropy formalism that represents a recent development in
statistical mechanics. The effectiveness of the proposed method is demonstrated
by using examples from the real-world and synthetic images. The performance
evaluation of the proposed technique in terms of the quality of the thresholded
images are presented. Experimental results demonstrate that the proposed method
achieve better result than the Shannon method.

5
The categories of this paper are: gr-qc
27
The categories of this paper are: comp-gas
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
29
The categories of this paper are: funct-an
0
The categories of this paper are: hep-ph
20
The categories of this paper are: acc-phys
35
The categories of this paper are: mtrl-th
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The categories of this paper are: hep-th
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The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
2
The categories of this paper are: math
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
33
The categories of this paper are: plasm-ph