A novel hierarchical Image retrieval based paper title geometric invariants and normalized histogram

doi:10.1109/ISISE.2008.87

	A novel hierarchical Image retrieval based paper title geometric invariants and normalized histogram
	Ye, Yanwen1 ; Zhang, Mingxin 2; Li, Xiangwei 2; Zhu, Yaling2 ; Zheng, Jinlong 3
	2008
会议名称	2008 International Symposium on Information Science and Engineering, ISISE 2008
会议录名称	2008 International Symposium on Information Science and Engineering, ISISE 2008
卷号	2
页码	659-662
会议日期	2008-12-20 - 2008-12-22
会议地点	Shanghai, China
出版地	LOS ALAMITOS
出版者	IEEE Computer Society
摘要	Image retrieval is generally implemented by image matching or based-regions retrieval, but it's difficult to balance retrieval performance and complexity. Query images may appear with different scales and rotations in different images, so a hierarchical image segmentation is proposed to partition the retrieved images into equal blocks with different sizes at different levels. Then, the similar metrics of these subblocks to query image, are evaluated to retrieve those subblocks with contents in query images. Meanwhile, information about scales and locations of query objects in retrieved images can also be returned. The hierarchical block image retrieval schemes with geometric invariants, normalized histograms and their combinations are tested by experiments via a database with 500 images, respectively. The retrieval accuracy with geometric invariants as invariant features can achieve 78% for the optimal similar metric threshold. Furthermore, the scheme can also work with different size images. © 2008 IEEE.
关键词	Geometry Graphic methods Image segmentation Query processing Different sizes Geometric invariant Invariant features Normalized histograms Query object Retrieval accuracy Retrieval performance Retrieved images
DOI	10.1109/ISISE.2008.87
收录类别	EI ; CPCI-S
语种	英语
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Information Systems ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000263201700150
EI入藏号	20091311978185
原始文献类型	Proceedings Paper
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/9904
专题	信息工程与人工智能学院图书馆
作者单位	1.College of Information Engineering, Lanzhou University of Finance and Economics, Lanzhou, 730000, China; 2.Dept. of Computer Engineering, Lanzhou Polytechnical College, Lanzhou 730070, China; 3.College of Mathematics and Information Science, Northwest Normal University, Lanzhou 730070, China
推荐引用方式 GB/T 7714	Ye, Yanwen,Zhang, Mingxin,Li, Xiangwei,et al. A novel hierarchical Image retrieval based paper title geometric invariants and normalized histogram[C]. LOS ALAMITOS:IEEE Computer Society,2008:659-662.