Detection of Pneumonia in chest X-ray images

Article type: Research Article

Authors: Parveen, N. Ravia Shabnam | Sathik, M. Mohamed

Affiliations: Department of MCA, K.L.N. College of Engineering, Pottapalayam, Madurai, India | Sadakathullah Appa College, Tirunelveli, India

Note: [] Corresponding author. E-mail: shabnamkannan@gmail.com

Abstract: Pneumonia is the common type of infection found in the world. The infection spreads in the lungs area of a human body. The chest x-ray is performed to diagnose this infection. Physicians use this X-ray image to diagnose or monitor treatment for conditions of pneumonia. This type of chest X-ray is also used in the diagnosis of diseases like emphysema, lung cancer, line and tube placement and tuberculosis. Feature extraction methods like DWT, WFT, and WPT can also be used. In this paper, detection of pneumonia infection by unsupervised fuzzy c-means classification learning algorithm is used. This approach gives better result than the rest of the methods. In fuzzy c-means, each resultant pixel gives accurate value since it has a weight associated with it.

Keywords: Feature extraction, pneumonia, fuzzy c-means classification, unsupervised learning

DOI: 10.3233/XST-2011-0304

Journal: Journal of X-Ray Science and Technology, vol. 19, no. 4, pp. 423-428, 2011