Infrared image segmentation based on a simplified PCNN

A novel infrared image segmentation method based on simplified coupled neural network(PCNN) was proposed.In view of the characteristics of big noise,narrow gray-scale range and contrast inversion phenomenon of infrared aerial image,the maximum cross correlation matching based on the similarity between original images and segmentation images was used to determine the parameters of PCNN.The experimental results showed the efficiency of the method.