Title page for ETD etd-05092009-040743


Type of Document Master's Thesis
Author Tatem, James E
URN etd-05092009-040743
Title Automatic image analysis methods for use with local operators
Degree Master of Science
Department Electrical Engineering
Advisory Committee
Advisor Name Title
Nadler, Morton Committee Chair
Conners, Richard W. Committee Member
Ehrich, Roger W. Committee Member
Keywords
  • Computer graphics.
Date of Defense 1990-05-01
Availability unrestricted
Abstract
Just as image processing and image data bases have moved out of the lab and into the

office environment, so has the need for image enhancement. Image scanners must to be able to

capture and store a wide variety of information including faded documents, carbon copies,

signatures, postmarks, etc. OCR systems put further demands on scanned image quality in terms

of low noise, and unbroken disconnected characters. Straight thresholding techniques do not

always meet the performance requirements, but by applying simple image processing techniques

some of these problems can be solved. However, more burden is placed on the users to control

the image enhancement techniques. The users, most of whom have little technical background,

want no part in adjusting parameters. This paper proposes a method of examining small windows

of the image to derive parameter settings autonomously. Histograms allow rudimentary measures

to be used in setting parameters for edge detection, non-linear filters, and point operators such

as non-linear gray scale mapping. Some examples of automatic parameter setting are given in

chapter three.

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