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.
Recommended Citation
Rao, Ramana L., "Multiresolution Techniques in Image Processing." (1995). LSU Historical Dissertations and Theses. 5978.
https://repository.lsu.edu/gradschool_disstheses/5978
Pages
99
DOI
10.31390/gradschool_disstheses.5978