Masters Theses
Abstract
"Melanoma is a form of a skin cancer, which can be deadly if not treated in the early stages. It is believed that color plays an important role in the diagnosis of malignant melanoma and that there are “melanoma colors" lying in the color space. The main objective of this research is to determine those “melanoma colors" and to find the locations of melanoma-colored pixels throughout the tumor. A color map for melanoma pixels is calculated using a training set. With this color map, different images are scored and for those images the percentage of melanoma-colored pixels are calculated. This color map is also used to derive spatial domain information for melanoma-colored pixels. This information is used to calculate two features called “clustering” and “asymmetry”. Before this work was done, it was believed that the melanoma-colored pixels were mostly clustered in a tumor. The results verified this assumption. The results also indicated that this clustering occurred more intense in melanomas than benign lesions. “Asymmetry” feature did not suggest a reliable way to diagnose melanoma. This research dealt with both clinical and dermatoscopy images. Dermatoscopy images were diagnosed better than the clinical images"--Abstract, page iii.
Advisor(s)
Moss, Randy Hays, 1953-
Committee Member(s)
Stanley, R. Joe
Hering, Roger H.
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Fall 2006
Pagination
vi, 47 pages
Note about bibliography
Includes bibliographical references (page 46).
Rights
© 2006 Yunus Emre Faziloglu, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Computer vision -- Technique -- Research
Melanoma -- Classification -- Research
Melanoma -- Diagnosis
Thesis Number
T 9079
Print OCLC #
123907597
Link to Catalog Record
Electronic access to the full-text of this document is restricted to Missouri S&T users. Otherwise, request this publication directly from Missouri S&T Library or contact your local library.
http://merlin.lib.umsystem.edu/record=b5848533~S5Recommended Citation
Faziloglu, Yunus E., "Relative color histogram and spatial color clustering analysis in malignant melanoma images" (2006). Masters Theses. 7290.
https://scholarsmine.mst.edu/masters_theses/7290
Share My Thesis If you are the author of this work and would like to grant permission to make it openly accessible to all, please click the button above.