Image Segmentation for Detection of Knee Cartilage

TLDR: The segmentation technique by the rough fuzzy c means classifier which provides the degrade in cartilage region and the SVM (support vector Machine) technique is used to classify the degradation cartilage.

Abstract: Use of computer science in the field of medical gives the major importance to the world. Hence in the medical field we use the technology in order to help the doctor to diagnose the disease. In this paper we make use of the segmentation technique on the MRI (Magnetic Resonance Images) data to diagnose the osteoarthritis. Osteoarthritis is a knee joint disease and in this paper we are mainly focused on the cartilage degradation i.e., degrading the femur and tibia cartilage. Image Segmentation provides the analysis of the image and extracts the data in order to perform the operation on it. This paper lists out various image segmentation techniques, to perform the segmentation of the knee cartilage from magnetic resonance images (MRI). The segmentation technique by the rough fuzzy c means classifier which provides the degrade in cartilage region and the SVM (support vector Machine) technique is used to classify the degradation cartilage.