International Journal of Information Engineering and Electronic Business (IJIEEB)
IJIEEB Vol. 8, No. 2, 8 Mar. 2016
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A New Optimization Approach Using Smoothed Images Based on ACO for Medical Image Registration
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Author(s)
Sunanda Gupta
1,*
Naresh Grover
2
Zaheeruddin
3
Index Terms
Medical imaging, image registration, ACO, Segmentation, Gaussian filter
Abstract
This paper studies on image registration using Ant Colony Optimization technique of the medical imag-es. Ant Colony Optimization algorithm has ability of global optimization and facilitates quick search of opti-mal parameters for image registration. In this paper, a modified Ant Colony Optimization algorithm on prepro-cessed images is proposed to improve the accuracy in terms of PSNR (peak signal to noise ratio), Entropy and convergence speed. Preprocessing of images is adopted to remove noise so that extracted features provide more accurate and precise information about the image and results are more suitable for further analysis. The experi-mental results demonstrate the performance of proposed methodology as compared with traditional approaches as very promising.
Cite This Paper
Sunanda Gupta, Naresh Grover, Zaheeruddin, "A New Optimization Approach Using Smoothed Images Based on ACO for Medical Image Registration", International Journal of Information Engineering and Electronic Business(IJIEEB), Vol.8, No.2, pp.30-36, 2016. DOI:10.5815/ijieeb.2016.02.04
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