Pigment network extraction and salient point analysis

Author

Pavani Jella

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 -- Diagnosis
Skin -- Cancer -- Diagnosis
Pigments -- Carcinogenicity
Computer 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