医疗卫生装备2013，Vol.34Issue(8)：4-6,3.DOI:10.7687/J.ISSN.1003-8868.2013.08.004
一种基于聚类的图像检索方法
Image Retrieval Method Based on Clustering
摘要
Abstract
Objetive To enhance the accuracy of the content-based image retrieval.Methods The color histogram feature was extracted as retrieval feature by using fuzzy quantization method in HSV color space.On this basis,the features of images in the image base formed many clusters by two-stage cluster method.In the image retrieval stage,the relevant images were returned by comparing the features between query image and the centre of each cluster.Results Experimental results showed that this method could improve the recall and precision of query image,and improved the rank or the relevant image in the retrieval results.Conclusion This image retrieval method is reasonable and effective,and its retrieval results are satisfactory.关键词
图像检索/HSV颜色空间/模糊量化/聚类Key words
image retrieval/ HSV color space/ fuzzy quantization/ clustering分类
医药卫生引用本文复制引用
常小红,卢虹冰,焦纯,张国鹏,见伟平..一种基于聚类的图像检索方法[J].医疗卫生装备,2013,34(8):4-6,3.基金项目
国家自然科学基金(81071220) （81071220）
