Date of Award

1-1-2000

Degree Type

Thesis

Degree Name

Master of Engineering Science

School

School of Mathematics and Engineering

Faculty

Faculty of Communications, Health and Science

First Advisor

Professor Kamran Eshraghian

Second Advisor

Associate Professor Abdessalem Bouzerdoum

Abstract

This thesis describes the development of two novel circuits that use a newly developed technology, that of neuron-MOS, for the purposes of analogue-to-digital conversion and image enhancement. Neuron-MOS has the potential to reduce both the complexity and number of transistors required for analogue and digital circuits. A reduced area, low transistor-count- analogue-to-digital converter that is suitable for inclusion in a massively parallel array of identical image processing elements is developed. Supporting the function of the array some fundamental image enhancement operations, such as edge enhancement, are examined exploiting the unique features of neuron-MOS technology.

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