Tuberculosis is a contagious lung disease caused by a single infectious agent. This airborne communicable disease is the leading cause of deaths. Presently, the emergence of drug-resistance strains of the disease is becoming the most serious issue in the developing world. One of the major challenges for controlling such condition lies in the difficulty in the timely diagnosis of suspected patients during their first visit. Early diagnosis using Chest radiographic images can control further transmission of drug-resistant TB. Computer aided diagnostics of Pulmonary Tuberculosis relies on the differentiation of subtle and non-specific alterations in chest radiographic images. In this seminar, influence of level set segmentation approaches and Keypoint characterization of chest radiographic images for the analysis of normal and Tuberculosis conditions would be discussed.