Regional Weight Optimization Based Multi-Sensor Image Fusion in Spatial Domain

EMRE, BENDES and VEYSEL, ASLANTAS (2015) Regional Weight Optimization Based Multi-Sensor Image Fusion in Spatial Domain. In: Third International Conference on Advances in Computing, Electronics and Communication - ACEC 2015, 10-11 October, 2015, Zurich, Switzerland.

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Abstract

In this paper, a new multi-sensor image fusion method that combines the source images by optimally weighting in terms of predetermined regions is proposed. The Artificial bee colony algorithm is employed to determine weights. The regions are produced by K-Means algorithm. The experiments are conducted with images for different applications. The proposed method is objectively and subjectively compared with well-known image fusion methods from the literature. Experimental results show that the method outperforms the other methods.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Image fusion, Multi-sensor fusion, ABC, KMeans.
Depositing User: Mr. John Steve
Date Deposited: 19 Apr 2019 12:05
Last Modified: 19 Apr 2019 12:05
URI: http://publications.theired.org/id/eprint/1383

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