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.