Dahao Wang

Publication Date

1993

Document Type

Dissertation/Thesis

First Advisor

Bow, Sing-Tze, 1924-

Degree Name

M.S. (Master of Science)

Legacy Department

Department of Electrical Engineering

LCSH

Zoology--Data processing; Image processing--Digital techniques; Imaging systems; Picture archiving and communication systems

Abstract

An effort was made to explore new approaches for fast edge detection and color correction in zoology image research in the Field Museum of Natural History. Application of imaging and image processing will replace the traditional method of using photographs and illustrations for specimens storage and retrieval. Classical edge detection algorithms consume a large amount of computation time. The processing procedures are overelaborate, and the processing is slow even with a very fast computer system. With this new algorithm developed here with look-up table function, single and multiple edges can be detected simultaneously to meet various processing requirements. Color can be corrected or recovered in the course of processing of the color images. Only two or three parameters need to be set. The processing is extremely fast. It is therefore suitable for real-time image processing and the processing with repetitive nature. These algorithms have been applied to several projects at Northern Illinois University and the Field Museum of Natural History. Results obtained are satisfactory.

Comments

Includes bibliographical references (pages [111]-112)

Extent

x, 138 pages

Language

eng

Publisher

Northern Illinois University

Rights Statement

In Copyright

Rights Statement 2

NIU theses are protected by copyright. They may be viewed from Huskie Commons for any purpose, but reproduction or distribution in any format is prohibited without the written permission of the authors.

Media Type

Text

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