DocumentCode
2620147
Title
ROI Image Retrieval Based on the Spatial Structure of Objects
Author
Zou, Weiwen ; Feng, Guocan
Author_Institution
Math. & Comput. Sch., Sun Yat-sen Univ., Guangzhou, China
Volume
7
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
105
Lastpage
110
Abstract
Spatial structure of objects is an important feature of images and making use of this feature properly is very important for the user in the retrieval system. However, only a third of the existing image retrieval systems use spatial features and those features are low precision features which are variant to rotation and shift. In this paper, a polygon-based spatial feature model is proposed to describe the spatial structure of objects in image. This model is a precise description and is rotation-invariant, scale-invariant and shift-invariant. The experiments show the proposed method has good performance.
Keywords
content-based retrieval; image retrieval; image segmentation; ROI content based image retrieval system; image segmentation; object spatial structure; polygon-based spatial feature model; Clustering algorithms; Computer science; Histograms; Image retrieval; Image segmentation; Information retrieval; Mathematics; Partitioning algorithms; Shape; Sun; CBIR; ROI; spatial structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.995
Filename
5170290
Link To Document