关键词: 玉米病害识别, Hu不变矩, 径向基函数-反向传播（RBF-BP）神经网络

Abstract: According to the invariant moment theory, the binary and normalized maize disease images are obtained. A?new?and?better?RBF-BP?neural?network?recognition?system?with?the?approximation?and?the?fault?tolerance?is?proposed. The Hu invariant moment’s advantages that contain translation, proportion, rotation invariant and good anti-jamming are all used to deal with the complex and changeful maize disease images. According to the invariant moment’s reliability, independence, and little number of those characteristics, it can get a better convergence of recognition system to extract the maize image’s features and the training and recognition of RBF-BP neural network. The results of simulation show that the maize disease recognition of RBF-BP neural network has high accuracy and efficiency.

Key words: maize disease recognition, Hu moment invariant, Radial Basis Function-Back Propagation（RBF-BP） neural network