DocumentCode :
2886880
Title :
Computing Orthogonal Moments in Biomedical Imaging
Author :
Papakostas, G.A. ; Koulouriotis, D.E. ; Karakasis, E.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Democritus Univ. of Thrace (DUTH), Xanthi, Greece
fYear :
2009
fDate :
18-20 June 2009
Firstpage :
1
Lastpage :
4
Abstract :
A novel methodology that permits the computation of the orthogonal moments of biomedical images in high rates is presented in this paper. The proposed methodology is making use of the inherent property the biomedical images have, the limited number of intensity values in the gray scale. This morphological characteristic facilitates the application of the ISR (Image Slice Representation) algorithm, proposed by the authors, to decompose a gray-scale image to a finite number of nonoverlapping slices. The image´s pixels belonging to a specific slice can be organized as homogenous rectangular blocks in order to simplify the moments´ computation formulas. Appropriate experiments on biomedical images have shown that the proposed technique can accelerate the moment´s computation significantly, by reducing the overall time about 50%.
Keywords :
biomedical imaging; brain; image representation; image resolution; medical image processing; ISR algorithm; biomedical imaging; brain; gray-scale image; homogenous rectangular blocks; image pixels; image slice representation algorithm; intensity values; morphological characteristic; nonoverlapping slices; orthogonal moment computation; Acceleration; Biomedical computing; Biomedical imaging; Engineering management; Gray-scale; Image analysis; Image coding; Pixel; Polynomials; Production engineering;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing, 2009. IWSSIP 2009. 16th International Conference on
Conference_Location :
Chalkida
Print_ISBN :
978-1-4244-4530-1
Electronic_ISBN :
978-1-4244-4530-1
Type :
conf
DOI :
10.1109/IWSSIP.2009.5367687
Filename :
5367687
Link To Document :
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