期刊文献+

基于底层特征融合和相关反馈的医学图像检索 被引量:3

Medical Image Retrieval Based on Low Level Feature Fusion and Relevance Feedback
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摘要 针对胸片图像特征,提出用分块主颜色、灰度共生矩阵和梯度图像形状不变矩以及它们的融合加之相关反馈技术进行检索的方法。在Windows Vista环境下用VisualC++实现了一个胸片图像检索的原型系统,实验表明,该方法具有良好的检索效果。 Based on chest images' features, this paper presents a retrieval method with domination color of partition, gray level co-occurrence matrix and gradient image shape invariant moments, as well as the fusion of them and the technique of relevance feedback. In Windows Vista environment with Visual C + +, a chest image retrieval prototype is implemented and the experiments have proved that this method has a better retrieval effect.
出处 《中国医疗器械杂志》 CAS 2008年第3期170-174,178,共6页 Chinese Journal of Medical Instrumentation
基金 国家自然科学基金资助(60472099)
关键词 胸片图像 分块主颜色 灰度共生 相关反馈 chest images, domination of partition, gray level co-occurrence, moment, relevance feedback
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参考文献16

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