Automated Segmentation Procedure for Ziehl-Neelsen Stained Tissue Slide Images

被引：0

作者：

Riza, Bob Subhan ^{[1
]}

Mashor, M. Y. ^{[2
]}

Osman, M. K. ^{[3
]}

Jaafar, H. ^{[4
]}

机构：

[1] Univ Potensi Utama, Fac Engn & Comp Sci, Jl KL Yos Sudarso Km 6,5 3 A, Medan 20241, Indonesia

[2] Univ Malaysia Perlis, Sch Mech Engn, Elect & Biomed Intelligent Syst EBItS, Arau 02600, Perlis, Malaysia

[3] Univ Teknol MARA UiTM, Fac Elect Engn, Penang Campus, Permatang 13500, Pauh Pulau Pina, Malaysia

[4] Univ Sains Malaysia, Sch Med Sci, Dept Patol, Kubang Kerian 16150, Kelantan, Malaysia

来源：

2017 5TH INTERNATIONAL CONFERENCE ON CYBER AND IT SERVICE MANAGEMENT (CITSM 2017) | 2017年

关键词：

Ziehl-Neelsen Stained; Image Processing; Segmentation; K-means Algorithm; Tissue Slide Images;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：386 / 390

页数：5