Prabhat Kumar Sharma; Bhavya V S; Navyashree K M; Sunil K S; Pavithra P

Artificial Bee Colony and Its Application for Image Fusion

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Author(s)

Prabhat Kumar Sharma ^1,* Bhavya V S ¹ Navyashree K M ¹ Sunil K S ¹ Pavithra P ¹

1. Dept. of ISE, Reva Institute of Technology and Management, Yelahanka, Bangalore– 560 064, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijitcs.2012.11.06

Received: 11 Feb. 2012 / Revised: 3 Jun. 2012 / Accepted: 25 Aug. 2012 / Published: 8 Oct. 2012

Index Terms

ABC, Image Fusion, Quality measure

Abstract

Artificial Bee Colony (ABC) is one of the latest swarm algorithm based on the intelligent foraging behavior of honey bees introduced in the year 2005 by Karaboga since then it has been used for optimization of various solutions. And it is recently introduced for processing and analysis of images such as segmentation, object recognition and image retrieval. Fusing images from a vast collection of different images has become one of the interesting challenges and has drawn the attention of researchers towards the development of fusion techniques. In this paper, we have proposed the usage of ABC for optimal fusion of multi-temporal images and studied the effect of variation in the source area

Cite This Paper

Prabhat Kumar Sharma, Bhavya V S, Navyashree K M, Sunil K S, Pavithra P, "Artificial Bee Colony and Its Application for Image Fusion", International Journal of Information Technology and Computer Science(IJITCS), vol.4, no.11, pp.42-49, 2012. DOI:10.5815/ijitcs.2012.11.06

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International Journal of Information Technology and Computer Science (IJITCS)