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2012 (Vol. 4, Issue: 02)
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 

Key words:  Artificial bee colony algorithm, image segmentation, multi-level threshold, PSNR, , ,
Vol. 4 , (02): 104-107
Submitted Accepted Published
2011 September, 23 2011 October, 24 2012 January, 15
Abstract:

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.
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  Cite this Reference:
Cao Yun-Fei, Xiao Yong-Hao, Yu Wei-Yu and Chen Yong-Chang, 2012. Multi-level Threshold Image Segmentation Based on PSNR using Artificial Bee Colony Algorithm.  Research Journal of Applied Sciences, Engineering and Technology, 4(02): 104-107.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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