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Automated segmentation procedure for Ziehl-Neelsen stained tissue slide images

机译:Ziehl-Neelsen染色的组织玻片图像的自动分割程序

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Automatic segmentation in Ziehl-Neelsen Stained Tissue Slide Images is to help identify whether the blood cells that have been exposed to tuberculosis. In an image segmentation in the detection of TB disease are still many obstacles and requires in many time. in this study perform segmentation is useful to help detect the germs of TB disease in the blood cells and segmentation, there are several ways in the process of segmentation and for research in the process of segmentation using K-Means to an assisted program that is in computer, so that in time which shortly will be directly detected, the steps being taken are doing sharpening to make it look the picture clearly, and the image is divided into four different colors to make it more visible germs of tuberculosis before and after it is done segmentation using region growing and as a result the process of segmentation in the image the blood cells are detected automatically.
机译:Ziehl-Neelsen染色组织切片图像中的自动分割有助于识别是否已暴露于结核的血细胞。在结核病检测中的图像分割中仍然存在许多障碍,并且需要很多时间。在这项研究中,进行分割对帮助检测血细胞中的结核病细菌和进行分割非常有用,在分割过程中有几种方法,并且对于使用K-Means进行分割的研究,该方法在计算机,以便及时将其直接检测出来,所采取的步骤正在进行锐化处理,以使图像清晰可见,并且将图像分为四种不同的颜色,以使其在结核病的前后更加清晰可见。使用区域增长完成分割,结果是在图像分割过程中自动检测了血细胞。

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