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
fDate :
March 31 2009-April 2 2009
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;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.995