Image Fusion Algorithm Based on Self-adaptive Fuzzy Clustering Method

This paper explores an image fusion algorithm based on self-adaptive fuzzy clustering algorithm. The clustering method combined nearest neighbor clustering method with k-means clustering method (NNKM) is adopted in pixel classification. The membership of every image pixel to each cluster center is introduced. And the fused image membership obtained by maximum rule is adopted as the weighting coefficient of the weighted mean strategy, which is used to obtain the fusion image. In this experiment, the fusion results of various Radiuses of Gauss function are compared with the results obtained by nearest neighbor clustering method The experiment results show that the proposed method can achieve better performance of the fused image.