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X-Ray Image Retrieval System Based On Visual Feature Discrimination

机译:基于视觉特征识别的X射线图像检索系统

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In this paper, we propose a medical content based image retrieval system based on efficient discrimination between visual descriptors within each image category. In addition, the proposed approach reduces the search space during the retrieval phase by incorporating an unsupervised learning and feature weighing component. We use a collection of X-ray images from ImageCLEF2009 data set in order to assess the performance of the system. The obtained results show that the proposed approach is faster than typical content based image retrieval.
机译:在本文中,我们提出了一种基于医学内容的图像检索系统,该系统基于每个图像类别中视觉描述符之间的有效区分。另外,所提出的方法通过合并无监督的学习和特征加权组件来减少检索阶段的搜索空间。我们使用来自ImageCLEF2009数据集的X射线图像集合来评估系统的性能。获得的结果表明,该方法比典型的基于内容的图像检索要快。

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