尿液涂片图像中微生物颜色特征提取的一般方法

2015 Fifth International Conference on Advances in Computing and Communications (ICACC) Pub Date : 2015-09-01 DOI:10.1109/ICACC.2015.44

Shaeez Usman Abdulla, Hridya T G, Vrinda V. Nair

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引用次数: 3

摘要

尿路感染是人类最常见的细菌感染之一，也是门诊就诊的主要原因。在尿涂片中发现病原体被认为是感染存在的第一个线索。本文提出了一种新的尿液涂片图像微生物颜色特征提取算法。在60个测试图像样本上实现了该方法。结果表明，该方法有望实现尿液涂片图像中念珠菌、革兰氏阴性杆菌和革兰氏阳性球菌的全自动分割、鉴定和计数。

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A General Approach for Color Feature Extraction of Microorganisms in Urine Smear Images

Urinary tract infection is one of the most common bacterial infection in humans and a major cause for outpatient consults. Spotting of pathogens in urine smears is taken to be the first clue that infection is present. In this paper, a new algorithm is proposed for color-feature extraction of microorganisms present in urine smear images. The proposed method was implemented on 60 test image samples. The results indicate that our method is a promising approach towards fully automating segmentation, identification and counting of Candida, Gram-Negative Bacilli and Gram-Positive Cocci in urine smear images.

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2015 Fifth International Conference on Advances in Computing and Communications (ICACC)

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