Analysis of Knee Infrared Image Based on Sample Entropy Algorithm

With the infrared thermal imaging technology becoming more and more mature, it is widely used in medical field. Traditionally, doctors diagnose the infrared image by observing the film or image, which need doctors master the accumulation of knowledge and clinical experience. Aiming at these problems, median filter is proposed to reduce the noise of knee infrared image. And then, in order to find out the relationship of the infrared image and the entropy value, the sample entropy algorithm is used to analysis the gray value sequence of the image. Finally, through the analysis of knee infrared images, the proposed method is proved feasible and effective.