摘要
本文在单一检索的基础上,对基于灰度直方图的颜色特征,基于小波变换的纹理特征和基于不变矩的形状特征进行融合。为了使用户能够参与检索过程,又引入了相关反馈机制,通过调整权值使得检索的结果最终满足用户的检索要求。最后分别给出基于单一特征,特征融合和相关反馈方法的查准率和查全率,并对试验结果进行分析。
First, multi-feature integration is proposed based on the study of single feature image retrieval techniques—color feature of gray histogram, texture feature of wavelet transform and shape feature of invariant moments. Then, with the relevance feedback mechanism, users could not only control the retrieval procedure, but also obtain satisfying retrieval results by adjusting relevance weights. Finally, the precisions and recalls of single feature, multi-feature integration and relevance feedback are calculated and compared.
出处
《电路与系统学报》
CSCD
北大核心
2006年第5期80-83,127,共5页
Journal of Circuits and Systems
关键词
医学图像检索
颜色
纹理
形状
特征融合
相关反馈
medical image retrieval
color
texture
shape
feature integration
relevance feedback
