Abstract:

The Pulse Coupled Neural Network (PCNN) model of the cat visual cortex has proven to have interesting properties in image processing,including segmentation,target recognition et al.This paper proposes a multisensor image fusion scheme based on the modified PCNN.Focusing on the famous difficult problem of PCNN and how to determine PCNN parameters adaptively,this paper brings forward an adaptive PCNN parameters determination algorithm based on water area.Experimental results demonstrate that the proposed fusion scheme outperforms the multiscale decomposition based fusion approaches,both in visual effect and objective evaluation criteria.The research fruits have certain value on the theory research and practical application of PCNN.

Key words: multisensor image fusion；pulsecoupled neural network (PCNN)；parameter determination；objective evaluation criteria