Multisensor image fusion has its effective utilization for surveillance.

In this paper, we utilize a pulse coupled neural network method to merge images

different sensors, in order to enhance visualization for surveillance. On the

basis of standard mathematical model of pulse coupled neural network, a novel

step function is adopted to generate pulses. Subjective and objective image

fusion performance measures are introduced to assess the performance of image

fusion schemes. Experimental results show that the image fusion method using

pulse coupled neural network is effective to merge images different

sensor-Multisensor image fusion has its effective utilization for surveillance.

In this paper, we utilize a pulse coupled neural network method to merge images

different sensors, in order to enhance visualization for surveillance. On the

basis of standard mathematical model of pulse coupled neural network, a novel

step function is adopted to generate pulses. Subjective and objective image

fusion performance measures are introduced to assess the performance of image

fusion schemes. Experimental results show that the image fusion method using

pulse coupled neural network is effective to merge images　different

sensor