Masters Theses
Title
The investigation of color image analysis techniques for detection of key features in medical images
Abstract
"In this research, image analysis techniques are explored to determine key color and texture features for discrimination in dermatology and cervix color images. In dermatology dermoscopy images, fuzzy logic-based color histogram analysis using various fuzzy aggregator operators is investigated to discriminate benign skin lesions from malignant melanomas"--Abstract, leaf iii.
Advisor(s)
Stanley, R. Joe
Committee Member(s)
Stoecker, William V.
Moss, Randy Hays, 1953-
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Computer Engineering
Publisher
University of Missouri--Rolla
Publication Date
Spring 2007
Pagination
ix, 92 leaves
Note about bibliography
Includes bibliographical references (pages 102-105).
Rights
© 2007 Vrushali Mundhe, All rights reserved.
Document Type
Thesis - Citation
File Type
text
Language
English
Library of Congress Subject Headings
Cervix uteri -- Cancer -- Diagnosis
Image analysis -- Mathematical models
Melanoma -- Diagnosis
Pattern recognition systems
Thesis Number
T 9137
Print OCLC #
173365032
Link to Catalog Record
Full-text not available: Request this publication directly from Missouri S&T Library or contact your local library.
http://laurel.lso.missouri.edu/record=b5978784~S5Recommended Citation
Mundhe, Vrushali, "The investigation of color image analysis techniques for detection of key features in medical images" (2007). Masters Theses. 29.
https://scholarsmine.mst.edu/masters_theses/29
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