Knee Joint Magnetic Resonance Images Recognition Based on Iterative Threshold Segmentation

Knee joint is very important for human activities, and its disease diagnosis and treatment are usually carried out by magnetic resonance technology. The residual image of knee magnetic resonance image is easy to cause misjudgement in the medical field. In this paper, an iterative threshold segmentation algorithm is applied to segment and recognize the knee MR images. The results show that this algorithm can effectively remove the residual images of the knee MR images of tumor and injuries. The research has certain guidance and reference significance for the clinical treatment of knee joint.