DocumentCode
3085307
Title
Medical Image Retrieval Based on Extraction of Region of Interest
Author
Ye Shao-zhen ; Yang Xian-dong
Author_Institution
Coll. of Math. & Comput. Sci., Fuzhou Univ., Fuzhou, China
fYear
2010
fDate
18-20 June 2010
Firstpage
1
Lastpage
4
Abstract
This paper presents some methods of medical image retrieval technique based on extraction of region of interest. First of all, in order to extract the focus region about medical, we propose a middle-value filtering idea combined region growing and mathematical morphology operator. Then based on the idea above, we present two methods of interest extraction. One is the T-Sobel edge detection method that is combined threshold-based segmentation and Sobel operator. The other is based on a method of fuzzy c-means and region growing, which is called FCM-Region. At last, we compare these approaches with the method of retrieval based on medical features and make a detailed analysis in which the result indicates that the method discussed in this paper is much more effective.
Keywords
biomedical MRI; edge detection; feature extraction; fuzzy logic; image segmentation; medical image processing; FCM-Region; Sobel operator; T-Sobel edge detection method; fuzzy c-means; mathematical morphology operator; medical image retrieval; middle value filtering; region growing; region of interest extraction; threshold based segmentation; Biomedical imaging; Cancer; Content based retrieval; Educational institutions; Image edge detection; Image retrieval; Image segmentation; Lesions; Magnetic resonance imaging; Medical diagnostic imaging;
fLanguage
English
Publisher
ieee
Conference_Titel
Bioinformatics and Biomedical Engineering (iCBBE), 2010 4th International Conference on
Conference_Location
Chengdu
ISSN
2151-7614
Print_ISBN
978-1-4244-4712-1
Electronic_ISBN
2151-7614
Type
conf
DOI
10.1109/ICBBE.2010.5514737
Filename
5514737
Link To Document