摘要
基于内容的图像检索是大数据处理的重要内容之一,本文从人眼视觉感知特性出发,参考局部图像相关性,提出了一种基于分块颜色直方图索引的快速图像检索方法。实验结果表明,本文方法具有较好的检索效果,缩短了检索时间,实现了快速检索。
The image retrieval based on content is one of the most important thing of the big data processing. In this paper, the algorithm proposed a fast image retrieval method based on block color histogram index from the human visual perception characteristics and by refering to the local image correlation. Plenty of the experimental results show that the method has a better retrieval effect, greatly shortens the retrieval time, achieves a fast retrieval.
出处
《价值工程》
2014年第12期202-203,共2页
Value Engineering
基金
湖南省自然科学基金项目(12JJ6058)
教育部博士点新教师基金项目(20120162120099)
关键词
CBIR
量化
分块颜色直方图
索引
图像检索
快速检索
CBIR
quantization
the block color histogram
indexing
image retrieval
fast retrieval
