摘要
图像数据的无序激增使得基于内容的图像检索技术成为一个研究热点。为了克服普通颜色特征不考虑颜色的空间分布的缺点,提出了一种多分辨率分块特征点匹配的图像检索技术。同时,还将相关反馈技术融合到多分辨率分块主色算法中以便改善检索效果。实验表明,文中所叙述的方法是比较有效的。
Content-based image retrieval becomes a hot research topic due to the rapid increase of out of order image data. In order to solve the problem of lacking the spatial knowledge of common color features, this paper presents an approach based on feature points for the content-based image retrieval. Meanwhile, the technology of relevance feedback is combined with the algorithm presented in the paper to enhance the effectiveness of retrieval. The comparison of the retrieval results to that of other systems shows that the approach proposed in the paper is effective.
出处
《计算机工程》
CAS
CSCD
北大核心
2004年第2期151-153,共3页
Computer Engineering
关键词
图像检索
多分辨率划分
特征点提取
相似性测度
相关反馈
Image retrieval
Multi-resolution partitions
Feature point extraction
Similarity measure
Relevance feedback