title: Unsupervised malaria parasite detection based on phase spectrum.
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.
authors.affiliation: School of Computer Engineering, Nanyang Technological University, Singapore 639798. fa0001ng@ e.ntu.edu.sg
authors.forename: Yuming
authors.initials: Y
authors.lastname: Fang
authors.forename: Wei
authors.initials: W
authors.lastname: Xiong
authors.forename: Weisi
authors.initials: W
authors.lastname: Lin
authors.forename: Zhenzhong
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D000818:Animals; D059788:Dried Blood Spot Testing / Q000379:methods*; D005583:Fourier Analysis; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008288:Malaria / Q000469:parasitology*; D010271:Parasites / Q000302:isolation & purification*