Automated tuberculosis screening using Zeihl Neelson image

According to WHO 2013 report, India is the highest burden country for Tuberculosis disease. Earlier diagnosis of TB may save many patient´s life and their neighbor. The earlier diagnosis of TB disease is still a challenging problem in India. Zeihl Neelson(ZN) staining, a microscopic method is most common and conventional way for manual diagnosis of Tuberculosis bacteria. In this proposed work, the segmentation of tuberculosis bacilli and classification of TB-positive and negative cases are performed automatically in ZN image. Depending upon the features of bacilli, classification is done. The algorithm is implemented using MATLAB.