Multisensor data fusion has played an important role in image processing recently.Traditional image processing is a typical two-dimensional signal processing.The image data fusion belongs to this area as well.For some images from the same scene with different kinds of noise

this paper presents a new kind of image data fusion algorithm based on the one-dimensional self-organizing feature map neural network.This method uses equal gray density figure to determine the number of clusters

and utilizes one-dimensional pixel value to perform two-dimensional image processing.Simulation results demonstrate the effectiveness of the proposed image data fusion method.