Performance analysis of Bayesian classifier with GLCM features on Digital X-ray images

The Bayesian classifier has proved efficient classification rate with many features. This paper focus on the analyzing the performance of Bayesian classifier over Grey Level Co-Occurrence Matrix (GLCM) features. A total of 130 digital -x ray images were used for the study. The performance metrics was evaluated using statistical parameters. The motive of the study is estimating the best fit in development of machine learning algorithm for diagnosis of Osteoarthritis