dc.contributor.author |
Kannan, Balakrishnan |
|
dc.contributor.author |
Abraham, Varghese |
|
dc.contributor.author |
Reji, Rajan Varghese |
|
dc.contributor.author |
Joseph, Paul S |
|
dc.date.accessioned |
2014-07-22T06:38:44Z |
|
dc.date.available |
2014-07-22T06:38:44Z |
|
dc.date.issued |
2012-12-18 |
|
dc.identifier.uri |
http://dyuthi.cusat.ac.in/purl/4205 |
|
dc.description |
2012 IEEE International Conference on Computational Intelligence and Computing Research |
en_US |
dc.description.abstract |
Axial brain slices containing similar
anatomical structures are retrieved using features derived
from the histogram of Local binary pattern (LBP). A
rotation invariant description of texture in terms of texture
patterns and their strength is obtained with the
incorporation of local variance to the LBP, called Modified
LBP (MOD-LBP). In this paper, we compare Histogram
based Features of LBP (HF/LBP), against Histogram based
Features of MOD-LBP (HF/MOD-LBP) in retrieving similar
axial brain images. We show that replacing local histogram
with a local distance transform based similarity metric
further improves the performance of MOD-LBP based
image retrieval |
en_US |
dc.description.sponsorship |
Cochin University of Science and Technology |
en_US |
dc.language.iso |
en |
en_US |
dc.publisher |
IEEE |
en_US |
dc.subject |
Average Rank |
en_US |
dc.subject |
HF/MOD-LBP |
en_US |
dc.subject |
HF/LBP |
en_US |
dc.subject |
MODLBP |
en_US |
dc.subject |
Precision |
en_US |
dc.title |
Level Identification of Brain MR Images using Histogram of a LBP variant |
en_US |
dc.type |
Article |
en_US |