Autothresholding Segmentation for Tuberculosis Bacteria Identification in the Ziehl-neelsen Sputum Sample
نویسندگان
چکیده
Tuberculosis (TB) is an important public health issue in this world. In 1992, World Health Organization (WHO) has determined tuberculosis as Global Emergency. The caused of tuberculosis disease is Mycobacterium tuberculosis. This bacteria is bar shaped and has the quality of acid fast so that it’s also called as Acid Fast Bacilli (AFB). In this research, an algorithm to identifying and counting the number of tuberculosis bacteria has developed by microscope imaging. Feature extraction for bacteria shape identification process using three parameter i.e. eccentricities, compactness, and metric. The training and object recognition using perceptron algorithm produce output with high accuracy. In this research obtained a correlation coefficient that is about 0.990
منابع مشابه
Comparison of Flurochrome , Ziehl-Neelsen and Tan Thiam Hok Staining Methods for Detection of Mycobacterium tuberculosis in Sputums of Patients with Pulmonary Tuberculosis
Abstract Background and objectives: Direct smear microscopy, because of its simplicity, rapidity, low cost and relatively sensitive is a suitable method to detecting pulmonary tuberculosis. This experiment was aimed at determining the best method for detecting Mycobacterium tuberculosis among three kinds of staining methods: Fluorochrome, Ziehl Neelsen and Tan Thiam Hok . Material and Methods: ...
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Tuberculosis (TB) is an important public health issue in this world. In 1992, World Health Organization (WHO) has determined tuberculosis as Global Emergency. The cause of tuberculosis disease is Mycobacterium tuberculosis. This bacteria is bar shaped and has the quality of acid fast so that it’s also known as Acid Fast Bacilli (AFB). In this research, an algorithm to identifying and counting t...
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