Search for Articles:

MECS Press Menu

Zaheeruddin

Work place: Jamia Millia Islamia (A Central University)/ Electrical Engineering, New Delhi, 110025, India

E-mail: zaheeruddin@jmi.ac.in

Website:

Research Interests: Computational Science and Engineering, Computational Engineering, Engineering

Biography

Dr. Zaheeruddin is Professor in the De-partment of Electrical Engineering, Faculty of Engineering & Technology, Jamia Millia Islamia (A Central University), New Delhi, India since 2003. He received the B. Sc. Engg. Degree in Electrical and M. Sc. Engg. Degree in Electronics & Communication from Aligarh Muslim University (AMU), Aligarh (UP) in 1982 and 1988 respectively, and a Ph. D. Degree in Computer Sci-ence from Jawaharlal Nehru University (JNU), New Delhi in 2002. He received Indian National Science Academy (INSA) Visiting Fellowship Award for the year 2004-05 to work with Prof. N. R. Pal in Computational Intelligence Lab. at Indian Statistical Institute Kolkata, India. He is a Fellow of IETE (In-dia) and Life Member of World Federation of Soft Computing (U.S.A.), The Institution of Engineers (IE, India), and many more.

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

By Sunanda Gupta Naresh Grover Zaheeruddin

DOI: https://doi.org/10.5815/ijieeb.2016.02.04, Pub. Date: 8 Mar. 2016

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.

[...] Read more.
Other Articles

Subscribe to receive issue release notifications and newsletters from MECS Press journals