Noisy Image Segmentation Based on Artificial Bee Colony Algorithm

Yong Hao Xiao; Zhuo Bin He; Yao Hu; Wei Yu Yu

doi:10.4028/www.scientific.net/AMM.687-691.3652

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 687-691Noisy Image Segmentation Based on Artificial Bee...

Noisy Image Segmentation Based on Artificial Bee Colony Algorithm

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 687-691)

Pages:

3652-3655

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.687-691.3652

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Online since:

November 2014

Authors:

Yong Hao Xiao*, Zhuo Bin He, Yao Hu, Wei Yu Yu

Keywords:

Artificial Bee Colony Algorithm, Multi-Level Threshold, Noisy Image Segmentation, PSNR

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