Literature DB >> 22256196

Unsupervised malaria parasite detection based on phase spectrum.

Yuming Fang1, Wei Xiong, Weisi Lin, Zhenzhong Chen.   

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.

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Year:  2011        PMID: 22256196     DOI: 10.1109/IEMBS.2011.6091972

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  2 in total

Review 1.  Image analysis and machine learning for detecting malaria.

Authors:  Mahdieh Poostchi; Kamolrat Silamut; Richard J Maude; Stefan Jaeger; George Thoma
Journal:  Transl Res       Date:  2018-01-12       Impact factor: 7.012

2.  Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination.

Authors:  Luís Rosado; José M Correia da Costa; Dirk Elias; Jaime S Cardoso
Journal:  Sensors (Basel)       Date:  2017-09-21       Impact factor: 3.576

  2 in total

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