%0 Journal Article
%T Multi-level Threshold Image Segmentation Based on PSNR using Artificial Bee Colony Algorithm
%A Cao Yun-Fei
%A Xiao Yong-Hao
%A Yu Wei-Yu
%A Chen Yong-Chang
%J Research Journal of Applied Sciences, Engineering and Technology
%D 2012
%I Maxwell Science Publication
%X 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.
%K Artificial bee colony algorithm
%K image segmentation
%K multi-level threshold
%K PSNR
%U http://www.maxwellsci.com/jp/abstract.php?jid=RJASET&no=167&abs=06