Pulse coupled neural networks (PCNN)

Computer Engineering electronics Engineering Civil Engineering

During the last few years there was a shift of the emphasis in the artificial neural network community toward spiking or pulse-coupled neural networks. Motivated by biological discoveries, many studies consider pulse coupled neural networks with spike-timing as an essential component in information processing by the brain. Pulse-coupled neural networks (PCNN) were introduced as a simple model for the cortical neurons in the visual area of the cat's brain.These neural models are proposed by Eckhorn and Johnson. . The essential model of PCNN, is described with details, that can be implemented to perform a number of digital image processing applications. We describe in the next sections a model that evaluates the global pulse of a PCNN in order to find correlation in the pulse signal and achieve pattern recognition. IMAGE PROCESSING & its Purpose: Image processing is any form of information processing for which the input is an image, such as photographs or frames of video; the output of image processing can be either an image or a set of characteristics or parameters related to the image. Most image-processing techniques involve treating the image as a two-dimensional signal and applying standard signal-processing techniques to it. Basic purpose of image processing is for: 1. Improvement of pictorial information for human interpretation. 2. Processing of image data for storage, transmission, and representation for autonomous machine perception. loading..