Automatic Image Segmentation Based on a Simplified Pulse Coupled Neural Network

Recent researches indicate that pulse coupled neural network (PCNN) can be effectively utilized in image segmentation. However, the near optimal parameter set should always be predetermined to achieve desired segmentation result for different images, which impedes its application for segmentation of various images. So far as that is concerned, there is no method of adaptive parameter determination for automatic real-time image segmentation. To solve the problem, this paper brings forward a new automatic segmentation method based on a simplified PCNN with the parameters determined by images’ spatial and grey characteristics adaptively. The proposed algorithm is applied to different images and the experimental results demonstrate its validity.