A New Optimization Approach Using Smoothed Images Based on ACO for Medical Image Registration

A New Optimization Approach Using Smoothed Images Based on ACO for Medical Image Registration

Автор: Sunanda Gupta, Naresh Grover, Zaheeruddin

Журнал: International Journal of Information Engineering and Electronic Business(IJIEEB) @ijieeb

Статья в выпуске: 2 vol.8, 2016 года.

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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.

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Medical imaging, image registration, ACO, Segmentation, Gaussian filter

Короткий адрес: https://sciup.org/15013405

IDR: 15013405

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