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Title: Automated Segmentation Procedure for Ziehl-Neelsen Stained Tissue Slide Images
Authors: Subhan riza, Bob
Keywords: Ziehl-Neelsen Stained
Image Processing
K-means Algorithm
Tissue Slide Images
Issue Date: 9-Dec-2019
Abstract: Abstract : 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.
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