Image segmentation based on PCNN model

Abstract

Image segmentation is very important in image processing which can segment the images into the different parts, thus, we can focus on the parts in which we are interested. Recent years, there are many models using for the image segmentation, Pulse Coupled Neural Networks model is very popular model which is widely used among many models. Although, PCNN models needs trivial adaptive parameters and network iterations to set, but it has the advantages, such as rotation invariance, intensity invariance, scale invariance, etc. Above advantages make PCNN is very suitable for image segmentation.