Keywords
Data Reduction; Electric filters, Digital; Image processing; Digital techniques; Kalman filtering
Abstract
ABSTRACT The amount of information contained in an image is often much more than is necessary. Computer generated images will always be constrained by the computer's resources or the time allowed for generation. To reduce the quantity of data in a picture while preserving its apparent quality can require complex filtering of the image data. This paper presents an algorithm for reducing data in polygon based images, using different filtering techniques that take advantage of a priori knowledge as to the images' content. One technique uses a novel implementation of vertex elimination. By passing the image through a sequence of controllable filtering stages, the image is segmented into homogeneous regions, simplified, then reassembled. The amount of data representing the picture is reduced considerably while a high degree of image quality is maintained. The effects of the different filtering stages will be analyzed with regard to data reduction and picture quality as it relates to flight simulation imagery. Numeri cal results are included in the analysis. Further applications of the algorithm are discussed as well.
Notes
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Graduation Date
1988
Semester
Spring
Advisor
Myler, Harley
Degree
Master of Science (M.S.)
College
College of Engineering
Format
Pages
65 p.
Language
English
Rights
Public Domain
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Location
Orlando (Main) Campus
Identifier
DP0022606
STARS Citation
Caesar, Robert James, "A Cellular Algorithm for Data Reduction of Polygon Based Images" (1988). Retrospective Theses and Dissertations. 5142.
https://stars.library.ucf.edu/rtd/5142
Accessibility Status
Searchable text