能量矩与颜色聚类相结合的图像检索方法

CORC > 集美大学

	能量矩与颜色聚类相结合的图像检索方法
	余元辉 ; 邓莹
刊名	http://epub.edu.cnki.net/grid2008/brief/detailj.aspx?filename=hdzr201201019&dbcode=CJFQ&dbname=CJFQ2012
	2012-06-05 ; 2012-06-05
关键词	图像检索软聚类颜色矩离散余弦变换能量矩 image retrieval soft clustering color moment discrete cosine transform energy moment TP391.41
其他题名	The Approach to Image Retrieval Combining Energy Moment and Color Clustering
中文摘要	检索效率和准确率是基于内容的图像检索技术的重要指标.首先采用一种改进的软聚类算法在颜色空间进行聚类预处理.在此基础上,提出一种快速有效的提取基于离散余弦变换的能量矩特征方法,对聚类结果进行基于能量矩特征的二次检索.实验结果表明,聚类预处理能大大地缩小图像的搜索范围,以达到快速、准确检索图像的目的,同时提出的分块能量矩对图像旋转、尺寸变化及噪声有较强的鲁棒性.; The efficiency and accuracy are important issues of the content-based image retrieval technology.Firstly,an improved soft clustering algorithm for high dimentional data is used in image retrieval.And then,the energy moment based on discrete cosine transform is presented as an efficient feature descriptor.Based on this,a new approach to image retrieval using combining energy moment and color clustering is proposed.The experimental results show that clustering pretreatment can greatly reduce the search scope of the image,thus the accuracy and speed of the retrieval results also improve greatly.And at the same time,the proposed annular energy moment is very robust in terms of scale and rotation invariance.; 【作者单位】集美大学计算机工程学院；华侨大学厦门工学院；【作者英文名】YU Yuan-hui1,DENG Ying2 (1.Computer Engineering College,JiMei University,Xiamen 361021,China; 2.Xiamen Institute of technology,HuaQiao University,Xiamen 361021,China)
语种	中文
内容类型	期刊论文
源URL	[http://ir.calis.edu.cn/hdl/235041/14777]
专题	集美大学
推荐引用方式 GB/T 7714	余元辉,邓莹. 能量矩与颜色聚类相结合的图像检索方法[J]. http://epub.edu.cnki.net/grid2008/brief/detailj.aspx?filename=hdzr201201019&dbcode=CJFQ&dbname=CJFQ2012,2012, 2012.
APA	余元辉,&邓莹.(2012).能量矩与颜色聚类相结合的图像检索方法.http://epub.edu.cnki.net/grid2008/brief/detailj.aspx?filename=hdzr201201019&dbcode=CJFQ&dbname=CJFQ2012.
MLA	余元辉,et al."能量矩与颜色聚类相结合的图像检索方法".http://epub.edu.cnki.net/grid2008/brief/detailj.aspx?filename=hdzr201201019&dbcode=CJFQ&dbname=CJFQ2012 (2012).