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  5. Mask decompositions for digital image processing
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Mask decompositions for digital image processing

Date Issued
June 1, 1985
Author(s)
Perez, Arnulfo Perez
Advisor(s)
R. C. Gonzalez
Additional Advisor(s)
D. W. Bouldin
R. Bodenheimer
Permanent URI
https://trace.tennessee.edu/handle/20.500.14382/35701
Abstract

The purpose of this study was to investigate the properties of mask convolvers as image processing tools, and to look at sensible approximations to facilitate real time applications. The characteristics of real time image processing systems were briefly reviewed. Afterwards, a theoretical study was made of spatial operators, and new theorems were developed to establish some important properties of mask convolvers. These results were used to obtain a new algorithm to reduce the effective size of mask operators. Some results that show the performance level of the algorithms developed are presented. The quality of these results, as well as the simplicity of the algorithms themselves, suggest that the approach taken is a promising one and that further work in this direction would be fruitful.

Degree
Master of Science
Major
Electrical Engineering
File(s)
Thumbnail Image
Name

Thesis85P574.pdf

Size

4.98 MB

Format

Unknown

Checksum (MD5)

d5673db6e6ce7d8bc78714b9ababc7cc

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