A Robust Automated Lung Segmentation System for Chest X-ray (CXR) Images

Akhila K J, Ajitha M, Ashy V Daniel, Ashwin Singerji
2017 International Journal of Engineering Research and  
Tuberculosis is an infectious disease that usually affects the lungs. The automatic detection of the lung regions is the critical component in CXR (digital Chest X-Ray screening) system. In this paper a robust automated lung segmentation system for chest X-ray (CXR) images is proposed. This method a content-based image retrieval approach used for identifying training images which is most similar to the patient CXR using Bhattacharyya shape similarity measure and partial Radon transform. The
more » ... transform. The initial patient anatomical model of lung shape is created using SIFT-flow, and refined lung boundaries are extracted using a graph cuts optimization approach.
doi:10.17577/ijertv6is040738 fatcat:gnxtw4hybfgnbfmnlfgjhc45oi