An algorithm for neutron and X-ray image fusion using WBCT (Wavelet-Based Contourlet Transform) was proposed. The WDCT inherits the multi-scale characteristic of wavelet transform and outperforms wavelet transform in representation of high dimensional singularity of image

enabling it to synthesize information of different images effectively. In order to overcome the shortcoming of pixel-based fusion

the method realizes the local adaptive fusion through NHM (Neighborhood Homogeneity Measurement). Experiments show that this algorithm retains more image detail and therefore provides more accurate information than traditional image fusion methods. It is proved to be a novel idea for the complementary application of neutron imaging and X-ray radiograph.