An algorithm for the enhancement of chest X-ray images of tuberculosis patients

Radiographic images are most commonly used by physicians all over the world, for preliminary diagnosis of the disease in the medical field. This is because X-ray procedures are simple and relatively inexpensive, as compared to other imaging modalities such as MRI. However X-ray films are noisy and difficult to read even for the experienced radiologists and physicians. Hence it is necessary to develop suitable processing techniques in order to help physicians and radiologists for diagnosis of disease. In this paper we propose an algorithm for enhancement of chest X-ray images of TB patients for better diagnosis of the disease.