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基于互信息方法的医学图像检索 被引量:5

MEDICAL IMAGE RETRIEVAL BASED ON MUTUAL INFORMATION
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摘要 提出了一种适用于医学图像检索的新方法 ,即最大互信息方法 .使用该方法对超声图像库进行检索实验 ,验证了基于最大互信息方法具有良好的检索性能 :该方法既能满足位置不变性、旋转不变性和比例不变性 ,又能避免进行图像分割 ,从而避免了因图像分割引起的复杂计算 ,该方法还具有检索速度不受数据库中图像数目影响等优点 。 A new method was presented to retrieve medical image, which is based on mutual information method. A database of ultrasonic images was retrieved by the method. The result shows that this method not only has the features of translation invarant, rotation invariant and scale invariant, but also avoids image segmentation which may lead to a complex calculation. The method has the advantage that the speed of retrieval will not get slow with the increase of the number of images. This new method can also be used to retrieve similar non-medical image.
出处 《红外与毫米波学报》 SCIE EI CAS CSCD 北大核心 2001年第5期370-374,共5页 Journal of Infrared and Millimeter Waves
关键词 互信息 医学图像 检索性能 图像分割 检索方案 mutual information medical image content-based retrieval
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参考文献4

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同被引文献21

  • 1王勇,吕扬生.基于纹理特征的超声医学图像检索[J].天津大学学报(自然科学与工程技术版),2005,38(1):57-60. 被引量:10
  • 2吕庆文,陈武凡.基于互信息量的图像分割[J].计算机学报,2006,29(2):296-301. 被引量:40
  • 3Henning Muller, Antoine Rosset, Jean-Paul Vallee. A reference data set for the evaluation of medical image retrieval systems [ J ]. Computerized Medical Imaging and Graphics, 2004,28 (6) : 295 - 305.
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  • 5Suresh K Choubey, Vijay V Raghavvan. Generic and fully automatic content-based image retrieval using color[ J]. Pattern Recognition Letters, 1997,18(10) : 1233 - 1240.
  • 6Go' mez J, Vicedo J L. Next-generation muhimedia database re- trieval [ J ]. IEEE Muhi-media,2007,14 (3) : 106 -107.
  • 7Darilmaz I. Wavelet based similarity measurement algorithm for seafloor morphology[ D 1. Boston:Massachusetts Institute of Tech- nology, 2006.
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  • 10Maes F, Collignon A. Vandermeulen D. Muhimodality image re- gistration by maximization of mutual information[ J]. IEEE Tran- saction on Medical Imaging,1997,16:187 -198.

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