Publication Type:

Conference Paper

Source:

2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Institute of Electrical and Electronics Engineers Inc., Sri Eeshwar College of Engineering (2017)

ISBN:

9781509045594

URL:

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030238727&doi=10.1109%2fICACCS.2017.8014643&partnerID=40&md5=f0abe1734c0f0f94fe0ce66133f35857

Keywords:

De-optimization, Differential evolution algorithms, Evolutionary algorithms, Fusion process, Fusion techniques, Genetic algorithms, Image fusion, Image fusion methods, Method of images, Optimization, Particle swarm optimization (PSO), Region-based, Spatial frequency, Surveys

Abstract:

This paper is mainly intended to compare image fusion method using different evolutionary algorithms and a comparison between these methods. The survey focuses on region-based fusion techniques, which is a major area of research. The paper compares image fusion processes using various evolutionary algorithms and illustrates the advantages and disadvantages of these algorithms. This survey illustrates that a method of image fusion can also be included in the DE optimization stage with the block size optimization. Finally, it is concluded that spatial frequency can be used as the sharpness criterion and Evolutionary algorithms perform better in block size optimization. © 2017 IEEE.

Notes:

cited By 0; Conference of 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017 ; Conference Date: 6 January 2017 Through 7 January 2017; Conference Code:130103

Cite this Research Publication

K. C. Haritha, Dr. Jeyakumar G., and Thangavelu, S., “Image fusion using evolutionary algorithms: A survey”, in 2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017, Sri Eeshwar College of Engineering, 2017.

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