Published Paper Details:

Arthritis is viewed as a disease caused as a result of inflamed joints. Arthritis is the most familiar element of disability in the world. Now a days in India there are six common Arthritis. Those are Rheumatoid Arthritis, Osteoarthritis, Gout Arthritis, Juvenile Arthritis, Ankylosing, Spondylitis, Psoriatic Arthritis. Though X-ray scans alone are insufficient to detect the type of arthritis easily, Image processing can improve the diagnosis. Therefore, there is a need for effective model development to identify knee arthritis. The previous study neglects identify both Osteoarthritis, Rheumatoid Arthritis and Gout Arthritis together. In this paper we develop image processing models for identification of arthritis types like Osteoarthritis. Because those are frequently occurred arthritis types. In this study, we have done image preprocessing(image size normalization 224x224,image denoising and RGB to Gray scale conversion), image segmentation (fuzzy c means Segmentation),image feature extraction GLCM classification of arthritis(SVM) techniques were conducted