A Relevance Feedback Method in Medical Image Retrieval Based on Bayesian Theory

Earlier researches have proved that the gray co-occurrence matrix representing the texture feature is more effective than many other features in the sternum image retrieval and the relevance feedback technology implementing man-machine interactive retrieval enhance retrieval efficiency. Based on these conclusions, in this paper, a new relevance feedback method based on minimal Bayesian error rate in sternum image retrieval is proposed. The comparison of feedback retrieval result shows the approach is effective.