Title :
Content based medical image retrieval feature extraction of using statistical spatial methods for content based medical image retrieval
Author :
Ergen, Burhan ; Baykara, Muhammet
Abstract :
However medical image archives are widely used, these archives are based on textual query. Recently, it is obtained successfully results in general purpose image archiving using content based image retrieval systems. Therefore, it has also began studying on content based retrieval in medical image archiving. In this study, it is investigated performances of features obtained from gray level co-occurrence matrix and wavelet transform for content based medical image retrieval. Finally, that it can be obtained using both methods is exposed.
Keywords :
content-based retrieval; feature extraction; image retrieval; image texture; medical image processing; statistical analysis; wavelet transforms; content based medical image retrieval feature extraction; gray level cooccurrence matrix; image archiving; image texture; statistical spatial methods; wavelet transform; Biomedical imaging; Image processing; Image retrieval; Neodymium; Picture archiving and communication systems; Wavelet transforms;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2010 IEEE 18th
Conference_Location :
Diyarbakir
Print_ISBN :
978-1-4244-9672-3
DOI :
10.1109/SIU.2010.5650320