Texture Analysis of Knee Osteoarthritis Using Contrast Limited Adaptive Histogram Equalization Based Gray Level Co-occurrent Matrix

Osteoarthritis (OA) is a joint disease associated with degenerative damage to joint cartilage. WHO reports that 40% of the world's population will suffer from OA, in which 80% of them have limited motion. due to the number of osteoarthritis sufferers is increasing and in the detection of osteoarthritis orthopedic doctors use manual x-ray images, detection of osteoarthritis using x-ray image input is necessary. This study uses x-ray image processing using the CLAHE method which is used for image enhancement to analyze bone texture using GLCM. The results showed that the accuracy rate of KL-0 was 20%, KL-15%, KL-220%, KL-355%, and KL-4 5%. Based on these results, adding methods will give better results.