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 AbstractJust 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
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