DocumentCode :
2505490
Title :
Unsupervised malaria parasite detection based on phase spectrum
Author :
Fang, Yuming ; Xiong, Wei ; Lin, Weisi ; Chen, Zhenzhong
Author_Institution :
Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2011
fDate :
Aug. 30 2011-Sept. 3 2011
Firstpage :
7997
Lastpage :
8000
Abstract :
In this paper, we propose a novel method for malaria parasite detection based on phase spectrum. The method first obtains the amplitude spectrum and phase spectrum for blood smear images through Quaternion Fourier Transform (QFT). Then it gets the reconstructed image based on Inverse Quaternion Fourier transform (IQFT) on a constant amplitude spectrum and the original phase spectrum. The malaria parasite areas can be detected easily from the reconstructed blood smear images. Extensive experiments have demonstrated the effectiveness of this novel method.
Keywords :
Fourier transforms; biomedical optical imaging; blood; diseases; medical image processing; microorganisms; optical microscopy; IQFT; blood smear images; constant amplitude spectrum; inverse quaternion Fourier transform; phase spectrum; unsupervised malaria parasite detection; Blood; Diseases; Educational institutions; Fourier transforms; Image color analysis; Image reconstruction; Quaternions; Algorithms; Animals; Dried Blood Spot Testing; Fourier Analysis; Humans; Image Processing, Computer-Assisted; Malaria; Parasites;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
ISSN :
1557-170X
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
Type :
conf
DOI :
10.1109/IEMBS.2011.6091972
Filename :
6091972
Link To Document :
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