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Abstract
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Article Information:
Multi-level Threshold Image Segmentation Based on PSNR using Artificial Bee Colony Algorithm
Cao Yun-Fei, Xiao Yong-Hao, Yu Wei-Yu and Chen Yong-Chang
Corresponding Author: Cao Yun-Fei
Submitted: 2011 September, 23
Accepted: 2011 October, 24
Published: 2012 January, 15 |
Abstract:
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Image segmentation is still a crucial problem in image processing. It hasn yet been solved very well.
In this study, we propose a novel multi-level thresholding image segmentation method based on PSNR using
artificial bee colony algorithm (ABCA). PSNR is considered as an objective function of ABCA. The multi-level
thresholds (t*1, t*2 ,...., t*n-1, t*n) are those maximizing the PSNR. We compare entropy and PSNR in
segmenting gray-level images. The experiments results demonstrate proposed method is effective and efficient.
Key words: Artificial bee colony algorithm, image segmentation, multi-level threshold, PSNR, , ,
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Cite this Reference:
Cao Yun-Fei, Xiao Yong-Hao, Yu Wei-Yu and Chen Yong-Chang, . Multi-level Threshold Image Segmentation Based on PSNR using Artificial Bee Colony Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (02): 104-107.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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