Title :
A New Two-Step Method for Medical Image Retrieval
Author :
Zhi Li-jia ; Zhang Shao-min ; Zhao Da-zhe ; Zhao Hong ; Lin Shu-kuan
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In this paper, authors propose a new two-step medical image retrieval method which combines co-occurrence matrix texture feature and gradient phase mutual information (GP_MI). The new method provides fast retrieval respond speed while achieves high precision and good robustness in retrieval process. Experimental results show that the algorithm has potential practical values for clinical routine application.
Keywords :
feature extraction; gradient methods; image retrieval; image texture; medical image processing; co-occurrence matrix texture feature; gradient phase mutual information; two-step medical image retrieval method; Biomedical engineering; Biomedical imaging; Content based retrieval; Grid computing; Histograms; Image retrieval; Image segmentation; Information retrieval; Mutual information; Robustness; co-occurrence matrix; content based image retrieval; gradient; gradient phase mutual information; mutual information;
Conference_Titel :
Information Technology and Computer Science, 2009. ITCS 2009. International Conference on
Conference_Location :
Kiev
Print_ISBN :
978-0-7695-3688-0
DOI :
10.1109/ITCS.2009.69
