计算机与现代化 ›› 2012, Vol. 208 ›› Issue (12): 55-59.doi: 10.3969/j.issn.1006-2475.2012.12.015
• 图像处理 • 上一篇 下一篇
江少锋，杨书勤
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JIANG Shao-feng, YANG Shu-qin
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摘要： 为进一步提高基于内容的医学图像检索性能，本文对相关反馈算法和全局特征进行研究。将基于模糊区域特征的图像检索和相关反馈算法与基于SVM的相关反馈算法结合起来，对复杂的区域特征采用基于模糊区域特征相关反馈算法，对全局特征采用能同时使用正例和负例图像的基于SVM的相关反馈算法，提出联合相关反馈算法。实验结果表明，采用这些方法后，检索结果有了很大的提高。
关键词: 相关反馈, 图像检索, SVM
Abstract: To promote the medical image retrieval performances based on content, this paper integrates image retrieval based on the fuzzy regional feature into the relevance feedback algorithm based on support vector machine, and proposes a new joint relevance feedback algorithm. This algorithm uses fuzzy regional feature based on the algorithm for regional feature, the global wavelet energy features use both of the relevant images and the irrelevant images based on relevance feedback algorithm of SVM. Experiment shows that the hybrid algorithm performs better.
Key words: relevance feedback, image retrieval, SVM
中图分类号:
TP391.41
江少锋;杨书勤. 联合相关反馈在医学图像检索中的应用[J]. 计算机与现代化, 2012, 208(12): 55-59.
JIANG Shao-feng;YANG Shu-qin. Application of Joint Relevance Feedback in Medical Image Retrieval[J]. Computer and Modernization, 2012, 208(12): 55-59.
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链接本文: http://www.c-a-m.org.cn/CN/10.3969/j.issn.1006-2475.2012.12.015
http://www.c-a-m.org.cn/CN/Y2012/V208/I12/55
