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Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval
May 27-May 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.1242008 International Conference on BioM ...
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Gang Zhang, Z.M. Ma, Ying He, Tie-Nan Zhao, "Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval," BioMedical Engineering and Informatics, International Conference on, vol. 2, pp. 253-257, 2008 International Conference on BioMedical Engineering and Informatics, 2008.
 
 
BibTex
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@article{ 10.1109/BMEI.2008.124,
author = {Gang Zhang and Z.M. Ma and Ying He and Tie-Nan Zhao},
title = {Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval},
journal ={BioMedical Engineering and Informatics, International Conference on},
volume = {2},
year = {2008},
isbn = {978-0-7695-3118-2},
pages = {253-257},
doi = {http://doi.ieeecomputersociety.org/10.1109/BMEI.2008.124},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - BioMedical Engineering and Informatics, International Conference on
TI - Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval
SN - 978-0-7695-3118-2
SP253
EP257
A1 - Gang Zhang,
A1 - Z.M. Ma,
A1 - Ying He,
A1 - Tie-Nan Zhao,
PY - 2008
KW - texture characteristic extraction
KW - direction histogram
KW - Gray co-occurrence matrix
VL - 2
JA - BioMedical Engineering and Informatics, International Conference on
ER -
 
The paper presents a texture characteristic extraction method for dominant directions. Enhanced Fourier spectrum is computed for an image in a medical image database. Direction histogram is computed from the enhanced Fourier spectrum. The set of dominant directions is computed according to the histogram. Gray co-occurrence matrix extracts texture characteristics based on the set. Euclidean distance is used to measure similarity between the images. Experiments show that the method in the paper show good performance for directional texture images and the same performance as currently widely used methods for non-directional texture images.
Index Terms:
texture characteristic extraction, direction histogram, Gray co-occurrence matrix
Citation:
Gang Zhang, Z.M. Ma, Ying He, Tie-Nan Zhao, "Texture Characteristic Extraction for Dominant Directions in Content-based Medical Image Retrieval," bmei, vol. 2, pp.253-257, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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