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Detecting Color Edges in the Visible Human Dataset
Stamford, Connecticut June 18-June 20
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.1999.78128312th IEEE Symposium on Computer-Based ...
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Irina Ilovici, "Detecting Color Edges in the Visible Human Dataset," Computer-Based Medical Systems, IEEE Symposium on, pp. 254, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999.
 
 
BibTex
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@article{ 10.1109/CBMS.1999.781283,
author = {Irina Ilovici},
title = {Detecting Color Edges in the Visible Human Dataset},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {1999},
issn = {1063-7125},
pages = {254},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.1999.781283},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Detecting Color Edges in the Visible Human Dataset
SN - 1063-7125
SP
EP
A1 - Irina Ilovici,
PY - 1999
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Irina Ilovici, Rensselaer Polytechnic Institute at Hartford
The objective of this research is to provide a new model of color imagery which is metrically consistent and differentiable. The differential-geometric approach of the model is: coordinate consistent, metrically consistent and differentiable. None of the variety of color edge detection algorithms in the literature address the differential geometric aspect proposed here.
Citation:
Irina Ilovici, "Detecting Color Edges in the Visible Human Dataset," cbms, pp.254, 12th IEEE Symposium on Computer-Based Medical Systems (CBMS'99), 1999
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