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General Information
Editor-in-chief

Prof. Pascal Lorenz
University of Haute Alsace, France
 
It is my honor to be the editor-in-chief of IJFCC. The journal publishes good papers in the field of future computer and communication. Hopefully, IJFCC will become a recognized journal among the readers in the filed of future computer and communication.

IJFCC 2013 Vol.2(3): 164-168 ISSN: 2010-3751
DOI: 10.7763/IJFCC.2013.V2.144

A High Performance Point Based Image Alignment Approach Using an Artificial Immune System

Osama A. Omer and Mohamed Abdel-Nasser
Abstract—In this paper, a high performance image alignment approach is presented. This approach is classified as a point based alignment approach. An artificial immune system (AIS) with a modified mutation formula is used to find the correspondence points between the reference and the input images. After the correspondence is found, the least mean squares technique (LMS) is used to determine the transformation which is used to align the two images. This approach doesn’t require any additional refinement or features detector as some others approaches required. To demonstrate the effectiveness of proposed algorithm, it compared with two state-of-the-art algorithms for different data sets.

Index Terms—Artificial immune system, mutation, correspondence, least squares minimization.

The authors are with the Department of Electrical Engineering, Aswan University, Aswan, Egypt (e-mail: omer.osama@gmail.com, egnaser@gmail.com).

[PDF]

Cite: Osama A. Omer and Mohamed Abdel-Nasser, "A High Performance Point Based Image Alignment Approach Using an Artificial Immune System," International Journal of Future Computer and Communication vol. 2, no. 3 pp. 164-168, 2013.
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