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