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2008 International Conference on BioMedical Engineering and Informatics
A Relevance Feedback Method in Medical Image Retrieval Based on Bayesian Theory
May 27-May 30
ISBN: 978-0-7695-3118-2
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.
Index Terms:
sternum image, gray co-occurrence matrix, Bayesian
Citation:
Quan Zhang, Xiao-ying Tai, "A Relevance Feedback Method in Medical Image Retrieval Based on Bayesian Theory," bmei, vol. 1, pp.840-844, 2008 International Conference on BioMedical Engineering and Informatics, 2008
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