Document Type

Thesis

Date of Award

5-31-1991

Degree Name

Master of Science in Electrical Engineering - (M.S.)

Department

Electrical and Computer Engineering

First Advisor

John D. Carpinelli

Second Advisor

Sotirios Ziavras

Third Advisor

Anthony D. Robbi

Abstract

The performance of conventional computers in image processing applications is known to be inadequate due to the enormous computational requirements. Almost all image processing applications can be implemented in parallel. This thesis is the parallel implementation of neighborhood averaging and edge detection by the Sobel and Laplacian operators on the Mesh Connected Computer Computer Simulator (MCCS), a package developed at NJIT to study the behavior of SIMD machines. Expressions for speedup, utilization and efficiency have been derived. Suggestions for further improvements that can be incorporated in MCCS and its instruction set have been made.

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