• Durga Prasad Kolluru
• Dr.M.B.Rama Murthy

Abstract: Tuberculosis is a major infectious disease in many regions of the World. Detection of Tuberculosis is the most efficient solution for prevention of this disease. Chest radiography is the most common method adopted for screening this disease and the success of this method depends on the experience and interpretation of the skilled radiologist. This paper presents Computer Aided Diagnosis (CAD) system for detection of Tuberculosis using K-means clustering algorithm and Combine Blur and Affine Moment Invariants (CBAMI). K-means clustering is a method of grouping data objects into different groups, such that similar data objects belong to the same group and dissimilar data objects to different clusters. K-means algorithm is used in this paper to identify the effected portion. The CAD method accelerates the process of active case finding as well as second medical opinion to radiologist. The CBAMI are used as features for the affected portion which was extracted using K-means algorithm. The CBAMI are selected in this work because they are invariant to both affine distortions as well as blur. Simulation results are carried out by considering The Montgomery County X ray dataset and the results are compared with Geometric Moment Invariants. It is observed from the results that the proposed method provided better accuracy.

Tuberculosis, K-Means Clustering, Combine Blur and Affine Moment Invariants

"AN IMPROVED METHOD FOR DIAGNOSIS OF TUBERCULOSIS USING K-MEANS CLUSTERING ALGORITHM AND COMBINED BLUR AND AFFINE MOMENT INVARIANTS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.98-105, April-2019, Available :http://www.jetir.org/papers/JETIR1904816.pdf

"AN IMPROVED METHOD FOR DIAGNOSIS OF TUBERCULOSIS USING K-MEANS CLUSTERING ALGORITHM AND COMBINED BLUR AND AFFINE MOMENT INVARIANTS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp98-105, April-2019, Available at : http://www.jetir.org/papers/JETIR1904816.pdf