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.”

Keywords: Image fusion, Multi-sensor fusion, ABC, KMeans.