Noisy Image Segmentation Based on Artificial Bee Colony Algorithm
2014 ◽
Vol 687-691
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pp. 3652-3655
Keyword(s):
Segmentation of noisy images is one of the most challenging problems in image analysis. It hasn’t yet been solved very well. In this paper, we propose a new method for image segmentation, which is able to segment two kinds of noisy images. The experimental results prove that Artificial Bee Colony Algorithm performs better for two types of noisy images.
2015 ◽
Vol 2015
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pp. 1-23
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2016 ◽
Vol 14
(1)
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pp. 342
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2017 ◽
Vol 89
(2)
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pp. 246-256
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Keyword(s):
2012 ◽
Vol 43
(4)
◽
pp. 343
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2014 ◽
Vol 2014
◽
pp. 1-22
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2018 ◽
Vol 5
(45)
◽
pp. 281-291
Keyword(s):
2021 ◽
Vol 11
(5)
◽
pp. 4050
Keyword(s):