Masters Theses
Keywords and Phrases
Edge and feature detection
Abstract
"Irregular networks are one of the characteristics of skin cancer such as malignant melanoma. Automoated diagnosis of skin cancer requires extraction of lesion features like color, texture, border irregularity, asymmetry, network structures, etc. This thesis presents an automated approach to determine salient points on pigment networks. The percentage of salient points contained in the total lesion area is used to distinguish malignant melanomas and Clarks nevi. The salient points are the candidate line points on a pigment network obtained by implementing a part of Steger's 2D line extraction algorithm."--Abstract, page iii.
Advisor(s)
Randy H. Moss
Committee Member(s)
R. Joe Stanley
Bijaya Shrestha
Department(s)
Electrical and Computer Engineering
Degree Name
M.S. in Electrical Engineering
Publisher
University of Missouri--Rolla
Publication Date
Summer 2004
Pagination
vii, 66 pages
Note about bibliography
Includes bibliographical references (pages 64-65)
Rights
© 2004 Pavani Jella, All rights reserved.
Document Type
Thesis - Restricted Access
File Type
text
Language
English
Subject Headings
Melanoma -- DiagnosisSkin -- Cancer -- DiagnosisPigments -- CarcinogenicityComputer vision
Thesis Number
T 8588
Print OCLC #
57898974
Recommended Citation
Jella, Pavani, "Pigment network extraction and salient point analysis" (2004). Masters Theses. 2636.
https://scholarsmine.mst.edu/masters_theses/2636
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