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基于相位谱的无监督疟原虫检测

Unsupervised malaria parasite detection based on phase spectrum.

作者信息

Fang Yuming, Xiong Wei, Lin Weisi, Chen Zhenzhong

机构信息

School of Computer Engineering, Nanyang Technological University, Singapore 639798. fa0001ng@ e.ntu.edu.sg

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:7997-8000. doi: 10.1109/IEMBS.2011.6091972.

DOI:10.1109/IEMBS.2011.6091972
PMID:22256196
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.

摘要

在本文中,我们提出了一种基于相位谱的疟原虫检测新方法。该方法首先通过四元数傅里叶变换(QFT)获取血涂片图像的幅度谱和相位谱。然后基于恒定幅度谱和原始相位谱通过逆四元数傅里叶变换(IQFT)得到重建图像。疟原虫区域可以很容易地从重建的血涂片图像中检测出来。大量实验证明了这种新方法的有效性。

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引用本文的文献

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Image analysis and machine learning for detecting malaria.基于图像分析和机器学习的疟疾检测
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Mobile-Based Analysis of Malaria-Infected Thin Blood Smears: Automated Species and Life Cycle Stage Determination.基于移动设备的疟疾感染薄血涂片分析:自动鉴定物种和生活史阶段。
Sensors (Basel). 2017 Sep 21;17(10):2167. doi: 10.3390/s17102167.