DocumentCode :
3109135
Title :
Content-Based Medical Image Retrieval Using the Generic Fourier Descriptor with Brightness
Author :
Vijay, Ashok ; Bhattacharya, Mahua
Author_Institution :
Indian Inst. of Inf. Technol. & Manage., Gwalior, India
fYear :
2009
fDate :
28-30 Dec. 2009
Firstpage :
330
Lastpage :
332
Abstract :
Content based medical image retrieval (CBMIR) is been highly active research area from past few years . We describes a efficient approach and algorithm that capable of extracting the key information from the medical images based on there shape. We use the Generic Fourier Descriptor (GFD) with Brightness as additional parameter to have good retrieval accuracy. Image is represented in polar form and 2-D Fourier transform is applied on them to get GFD. The acquired descriptor is application independent and robust. Experimental results show the GFD with brightness have better performance over the other contour-based descriptor.
Keywords :
Fourier transforms; content-based retrieval; image retrieval; medical computing; 2-D Fourier transform; content-based medical image retrieval; generic Fourier descriptor; Biomedical imaging; Brightness; Content based retrieval; Content management; Data mining; Fourier transforms; Image retrieval; Information retrieval; Shape; Technology management; CBIR retrieval; CBMIR; Fourier descriptors; Generic Fourier Descriptor.; shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Vision, 2009. ICMV '09. Second International Conference on
Conference_Location :
Dubai
Print_ISBN :
978-0-7695-3944-7
Electronic_ISBN :
978-1-4244-5645-1
Type :
conf
DOI :
10.1109/ICMV.2009.42
Filename :
5381139
Link To Document :
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