疟原虫薄血膜图像自动检测技术研究进展

发布时间：2019-02-24 18:27

【摘要】：本文综述了计算机视觉和图像分析技术应用于疟原虫薄血膜涂片显微图像自动检测的研究进展。在介绍自动检测技术背景和意义的基础上,首先对现有自动检测技术进行总结,将其分为图像获取、前处理、形态学分析、图像分割、疟原虫计数与分类等步骤;然后详细综述了各步骤的原理和现有实现方法;最后提出了自动检测技术的推广应用及厚血膜的自动检测等有待研究的问题,为后续研究疟原虫图像的自动显微诊断提供了新思路。
[Abstract]:This paper reviews the application of computer vision and image analysis techniques in the automatic detection of blood film smears of Plasmodium falciparum. Based on the introduction of the background and significance of automatic detection technology, the existing automatic detection techniques are summarized, which are divided into image acquisition, pre-processing, morphological analysis, image segmentation, malaria parasite counting and classification. Then the principle of each step and the existing implementation methods are summarized in detail. Finally, the application of automatic detection technology and the automatic detection of thick blood membrane are put forward, which provides a new idea for the further study of automatic microscopic diagnosis of Plasmodium falciparum image.
【作者单位】：陕西省西安市疾病预防控制中心;甘肃省白银市平川区人民医院;军械工程学院2系;
【分类号】：R382.31

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