Date of Award

1995

Document Type

Dissertation

Degree Name

Doctor of Philosophy (PhD)

Department

Computer Science

First Advisor

S. Sitharama Iyengar

Abstract

Multiresolution, an effective paradigm for signal processing, offers a natural, hierarchical view of information. As a computational tool, multiresolution can be applied to a variety of problems in signal and image processing. For instance, feature detection and extraction can be performed quickly and efficiently using a multiresolutional method to analyze images. This dissertation addresses the problems of segmentation and edge detection in images with particular emphasis on satellite images which display features of a fine nature, such as the Atlantic Gulf Stream. The dissertation also describes a portable toolkit, for conventional and multiresolutional image processing, that was developed to test the various algorithms described in this research. The dissertation is motivated by the importance of the problems of segmentation and edge detection in the area of image processing, and the ever-present need for effective, efficient algorithms.

Pages

99

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