Pigment network extraction and salient point analysis
Keywords and Phrases
Edge and feature detection
"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, leaf iii.
Electrical and Computer Engineering
M.S. in Electrical Engineering
University of Missouri--Rolla
vii, 66 leaves
© 2004 Pavani Jella, All rights reserved.
Thesis - Citation
Library of Congress Subject Headings
Melanoma -- Diagnosis
Skin -- Cancer -- Diagnosis
Pigments -- Carcinogenicity
Print OCLC #
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=b5282237~S5
Jella, Pavani, "Pigment network extraction and salient point analysis" (2004). Masters Theses. 2636.
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.