Paul Fetter

Abstract

This thesis explores some heuristics for choosing 8 bit gray scale morphological structuring elements for reducing noise. The variables of size, shape and volume that enter into the choice of structuring elements create a very large number of possible structuring elements. Some general heuristics to guide the choice of an appropriate structuring element will make the task easier. Both the absolute error of the image and the appearance of the image will be used to judge the results. The experiments were performed on 3 images. Each of the images had noise added before processing; one set of data had 10 percent of the pixels disturbed by noise, the other had 20 percent of the pixels disturbed by noise. The resulting 6 images were then filtered with 10 different structuring elements and the resulting images were then compared against the respective baseline image. The conclusions were guided by the resulting absolute error values.

Library of Congress Subject Headings

Image processing--Digital techniques; Morphisms (Mathematics)

Publication Date

7-1-1994

Document Type

Thesis

Department, Program, or Center

Computer Engineering (KGCOE)

Advisor

Czernikowski, Roy

Advisor/Committee Member

Matteson, Ronald

Advisor/Committee Member

Chang, Tony

Comments

Note: imported from RIT’s Digital Media Library running on DSpace to RIT Scholar Works. Physical copy available through RIT's The Wallace Library at: TA1632.F47 1994

Campus

RIT – Main Campus

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