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Fusion method which is based on PNN neural networks and RBF neural networks is used for segmentation the blade damage image of aero-engine. Select 80 pixel RGB and HSV values of the image as train samples of PNN neural networks and RBF neural networks. According to the shortage of PNN neural networks and RBF neural networks, the genetic algorithm is used to optimize the input parameters of PNN neural networks and RBF neural networks. Take into account the uncertainty of aero-engine blades damage image in acquisition process, the D-S evidence theory was applied to fuse two kinds of neural networks and get the finally segmentation results.This method correctly recognize 29 groups of sample when all the samples is 30.So,the recognition rate is as high as 96.67%. The results show that this method effectively overcome the shortage of the single recognition network and single source of information for image segmentation of blade damage and this segmentation the blade damage image method is high-efficiency.