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TITLE : LOCAL TERNARY PATTERN APPROACH FOR CLASSIFICATION OF ARTHRITIS FROM DIGITAL KNEE X-RAY IMAGES  
AUTHORS : Subramoniam.M      Rajini.V            
ABSTRACT :

Arthritis is a type of disorder that occurs in bone joints. A number of diagnostic approaches are widely available for the diagnosis of the disease. There are a number of types of arthritis and most of them fall into the category of either inflammatory type or non inflammatory type of disease. Imaging of the joint under study is the followed for analyzing the erosions in bone joints and radiography is the conventional method followed for such analysis. The X-ray image is analyzed manually by the radiographer. So the knowledge of the radiographer plays a vital role in the diagnosis. A computer aided tool can provide an alternate approach for diagnosis and such tool can aid the radiographer for better diagnosis. One such computer aided analysis has been discussed in this paper. The algorithm was developed using Local Ternary Pattern (LTP) and K-NN Classifier. The developed algorithm was evaluated using 50 Knee X-ray samples. The specificity and the sensitivity produced by the algorithm are satisfactory.

 
Keywords: Arthritis, K-NN classifier, Local ternary pattern, Specificity, Sensitivity.
 
 
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