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Publication Type : Conference Paper
Publisher : 2017 4th International Conference on Advanced Computing and Communication Systems,
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
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
Campus : Coimbatore
School : School of Engineering
Department : Computer Science
Year : 2017
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.
Cite this Research Publication : K. C. Haritha, Dr. Jeyakumar G., and Dr. 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.