Recognition of Tuberculosis Through Image Modalities

This project is based upon the different process determined for the recognition of lung tuberculosis using different modalities like filtering, lung boundaries detection, extraction of tuberculosis and performance evaluation measures. We all basically know about lung tuberculosis, which is caused by a bacterial infection that causes the majority of death rate around the world. It is caused by Mycobacterium tuberculosis (M tuberculosis). This project tries to detect the tuberculosis in minimum investment. In this project first we get the X-ray images of infected person. After that the X-ray images are given as the input then the preprocessing is applied in that we use filter which removes the unnecessary noise and also helps to acquire clear images. Then the output which is obtained from the preprocessing is given as the as the input for lung boundary detection after detecting the boundaries the output we detect is fused to get Lung Boundary Detection. In this LBD the features such as area, major and minor axis etc...are detected. Under the various process we detect the TB that is present in X-ray or not.