Automated Color Image Edge Detection Using Improved PCNN Model

-Recent researches indicate that pulse coupled neural network can be used for image processing, such as image segmentation and edge detection effectively. However, up to now it has mainly been used for the processing of gray images or binary images, and the parameters of the network are always adjusted and confirmed manually for different images, which impede PCNN’s application in image processing. To solve these problems, based on the model of Pulse Coupled Neural Network and the model of HIS, this paper bring forward an improved PCNN model in the color image segmentation with the parameters determined by images’ spatial and gray characteristics automatically at the first, then use the above model to obtain the edge information. The experiment results show the good effect of the new PCNN model. Key-Words: pulse coupled neural network (PCNN), image processing, HIS, color image segmentation, parameter determination, image edge detection, spatial characteristics, gray characteristics