IMAGE PROCESSING

Abstract:A novel method for image processing and pattern recognition using Discrete Fourier Transformations on the global pulse signal of a pulse-coupled neural network (PCNN) is presented in this paper.The PCNN is an image transform that removes “unimportant” details while improving the overall quality of the image. It may also provides substantial noise smoothing without losing image pattern and shape information.We describe the mathematical model of the PCNN and an original way of analyzing the pulse of the network in order to achieve better quality of the image ,scale and translation-independent recognition for isolated objects.

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.