基于双阈值和BLOB分析的薄血涂片图像中的疟原虫检测

Jullend Gate, Febri Maspiyanti
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引用次数: 2

摘要

通过检查血液载玻片,由医务人员用显微镜观察,可以发现引起疟疾的寄生虫。然而,为了防止急需疟疾寄生虫的人死亡,可以迅速而准确地进行检测,主要是在缺乏经验丰富的医务人员的地区,例如婆罗洲和巴布亚的农村地区。此外,在疟疾诊断中,数据与标准程序不一致,因此产生的血液涂片数据是非标准数据。这对研究人员来说是一个巨大的挑战,他们无法在非标准数据上检测寄生虫。利用显微镜、目镜相机和计算机,我们提出了一种结合双阈值技术和BLOB分析的方法来检测红细胞内寄生虫的存在。在我们的实验研究中,采用我们提出的方法,能够得到平均的PPV为84.43%,灵敏度为85.5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Plasmodium Parasite Detection on Thin Blood Smear Image using Double Thresholding and BLOB Analysis
Detection of the parasite that causes malaria can be made through examination of blood slides observation using a microscope by medical officer. However, to prevent death in people with urgently needed malaria parasite detection can be done rapidly and accurately, mainly in such areas which is lack of experienced medical officer, such as in rural areas in Borneo and Papua. Furthermore, in an effort to malaria diagnosis, the data are inconsistently made with standard procedure, hence the blood smear data produced are non-standard data. This becoming a huge challenge for the researcher to be able to detect parasite on non-standard data. By using microscope, eyepiece camera, and computer, we propose a method to detect the presence of parasite inside the red blood cells using combination of the Double Thresholding techniques and BLOB analysis. Our experimental research using our proposed method, able to obtain average of PPV of 84.43%, and Sensitivity of 85.5%.
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