loading...
 This Article 
   
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
4th IEEE Southwest Symposium on Image Analysis and Interpretation
Characterization of Skin Lesion Texture in Diffuse Reflectance Spectroscopic Images
Austin, Texas
April 02-April 04
ISBN: 0-7695-0595-3
ASCII Text
x 
 
Mehrube Mehrubeoglu, Nasser Kehtarnavaz, Guillermo Marquez, Lihong V. Wang, "Characterization of Skin Lesion Texture in Diffuse Reflectance Spectroscopic Images," Image Analysis and Interpretation, IEEE Southwest Symposium on, pp. 146, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000.
 
 
BibTex
x
 
@article{ 10.1109/IAI.2000.839589,
author = {Mehrube Mehrubeoglu and Nasser Kehtarnavaz and Guillermo Marquez and Lihong V. Wang},
title = {Characterization of Skin Lesion Texture in Diffuse Reflectance Spectroscopic Images},
journal ={Image Analysis and Interpretation, IEEE Southwest Symposium on},
volume = {0},
year = {2000},
isbn = {0-7695-0595-3},
pages = {146},
doi = {http://doi.ieeecomputersociety.org/10.1109/IAI.2000.839589},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Image Analysis and Interpretation, IEEE Southwest Symposium on
TI - Characterization of Skin Lesion Texture in Diffuse Reflectance Spectroscopic Images
SN - 0-7695-0595-3
SP
EP
A1 - Mehrube Mehrubeoglu,
A1 - Nasser Kehtarnavaz,
A1 - Guillermo Marquez,
A1 - Lihong V. Wang,
PY - 2000
KW - diffuse reflectance spectroscopic imaging
KW - texture feature analysis
VL - 0
JA - Image Analysis and Interpretation, IEEE Southwest Symposium on
ER -
 
Mehrube Mehrubeoglu, Texas A&M University
Nasser Kehtarnavaz, Texas A&M University
Guillermo Marquez, Texas A&M University
Lihong V. Wang, Texas A&M University
This paper examines various texture features extracted from skin lesion images obtained by using diffuse reflectance spectroscopic imaging. Different image texture features have been applied to such images to separate pre-cancerous from benign cases. These features are extracted based on co-occurrence matrix, wavelet decomposition, fractal signature, and granulometric approaches. The results so far indicate that fractal and wavelet-based features are effective in distinguishing pre-cancerous from benign cases.
Index Terms:
diffuse reflectance spectroscopic imaging, texture feature analysis
Citation:
Mehrube Mehrubeoglu, Nasser Kehtarnavaz, Guillermo Marquez, Lihong V. Wang, "Characterization of Skin Lesion Texture in Diffuse Reflectance Spectroscopic Images," ssiai, pp.146, 4th IEEE Southwest Symposium on Image Analysis and Interpretation, 2000
Usage of this product signifies your acceptance of the Terms of Use.