Analysis of infected blood cell images using morphological operators
Analysis of infected blood cell images using morphological operators
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DOI：
10.1016/s0262-8856(01)00092-0
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发表时间：
2002-02-01
影响因子：
4.7
通讯作者：
Jarra, B
中科院分区：
文献类型：
--
作者：
Di Ruberto, C;Dempster, A;Jarra, B
本工作描述了一种检测和分类吉姆萨染色血载玻片图像中的疟疾寄生虫的系统，以便评估血液中的寄生虫血症。我们的系统的第一个目标是通过基于形态学方法的自动阈值检测寄生虫。整个系统的一个主要要求是有效地分割细胞图像。因此，本文还引入了一种形态学方法对细胞图像进行分割，该方法比经典的基于分水岭的算法更准确。我们已经应用了基于开放的灰色颗粒测量与圆盘形元素，平面和半球形。我们使用了半球形的圆盘状结构单元来增强红色细胞的圆度和紧密度，提高了经典分水岭算法的精度，同时我们使用了圆盘状的扁平结构单元来分离重叠的细胞。这些方法利用了供血细胞结构的知识，也就是说，在现有的基于流域的算法中没有使用。系统的最后一步是对寄生虫进行分类：我们提出了两种不同的分类方法，一种是基于形态学算子的分类方法，另一种是基于颜色直方图相似性的分类方法。该框架是在一个运行示例的帮助下描述的，然后针对更多图像的“专家”分析进行验证。(C) 2002 Elsevier Science B.V.版权所有
This work describes a system for detecting and classifying malaria parasites in images of Giemsa stained blood slides in order to evaluate the parasitaemia of the blood. The first aim of our system is to detect the parasites by means of an automatic thresholding based on a morphological approach. A major requirement of the whole system is an efficient method to segment cell images. So the paper also introduces a morphological approach to cell image segmentation, that is, more accurate than the classical watershed-based algorithm. We have applied grey scale granulometries based on opening with disk-shaped elements, flat and hemispherical. We have used a hemispherical disk-shaped structuring element to enhance the roundness and the compactness of the red cells improving the accuracy of the classical watershed algorithm, while we have used a disk-shaped flat structuring element to separate overlapping cells. These methods make use of knowledge of the fed blood cell structure, that is, not used in existing watershed-based algorithms. The last step of the system is classifying the parasites: we present two different classification methods, one based on morphological operators and another one based on colour histogram similarity. The framework is described with the help of a running example and then validated against 'expert' analysis of several more images. (C) 2002 Elsevier Science B.V. All rights reserved.