Abstract—Feature extraction is one of the most important step in CAD (Computer Assisted Diagnosis) system. It helps CAD system to take correct decision and increase its accuracy by providing distinguish feature of malignant and benign tumor. Computer based system is proposed in this paper for feature extraction of lung nodule from the X-ray image. In recent years, the image processing mechanisms are widely used in several medical areas for early detection and in deciding treatment stages, where the time and cost factor is very important to discover the disease in the patient. Among the cancer, lung cancer is one of the most common causes of death worldwide. Therefore, early detection using diagnostic tests promises to reduce mortality from lung cancer. Present paper deals with the problem of developing a computer based system for the extraction of maximum features from the segmented suspicious area from the lung X-ray image. Further, these properties can be used to classify lung tumor as benign or malignant from the X-ray image directly. Calculated features will help the CAD system to take correct decision.

Index Terms—Benign, feature extraction, irregularity index, lung nodule, malignant, neoplasia, variance.

Nitin S. Lingayat is with the Electrical Department, DR. Babasaheb Ambedkar Technological University‟s Institute of Petrochemical Engineering, Lonere, Dist: -Raigard, Pin–402103 India (e-mail: nslingayat@yahoo.com).
Manoj R. Tarambale is with Marathwada Mitra Mandal‟s college of Engineering, University of Pune, Pune, India (tel.: +91 9822117427; e-mail: manoj_tarambale@ yahoo.com).

 

Cite:Nitin S. Lingayat and Manoj R. Tarambale, "A Computer Based Feature Extraction of Lung Nodule in Chest X-Ray Image," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 3, no. 6, pp. 624-629, 2013.