Abstract
An image processing system that incorporated some retinal properties was investigated for the processing of two dimensional images. The system was required to carry out basic image processing tasks such as edge detection. A new filtering technique was deduced from the physiological findings on the distribution of the receptive fields of the retinal ganglion cells. This filtering technique was then incorporated in the design of an image processing system in, which the spatial resolution increased linearly towards the centre of, the image. The design, was based on a discrete polar distribution of processing areas on an inhomogeneous triangular sampling grid. This resulted in a highly localized processing system which simplified the development of the higher image processing tasks such asboundary following. The retinal image processing system was simulated on a VAX 11/750. The computational cost of conducting operations such as edge detection, boundary detection and boundary following, using the designed system, was evaluated and compared with that of the conventional image processing system.
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