Abstract: The parameters of pulse dual neural network (PCNN) determine the application of the model in the field of digital image processing．But adaptive settings of network parameters are based on the information of image statistics or network structure．Based on this,the adaptive parameters settings method of PCNN based on visual information was proposed and model was improved．By analyzing the nature of the biological visual perception theory and PCNN network,the method reveals the homology of the theory of visual perception and PCNN network parameters M,W and β．The M,W and β of adaptive parameter setting method were given on the basis of visual perception model．The PCNN improvement model of Biological visual features was designed．The experiments verify the geometric invariance of the model．And it is proved that the model achieves good results at the field of Content-based image retrieval．

Key words: Pulse dual neural network,Parameters adaptive settings,Visual perception theory,Geometric invariance