Title :
Shape retrieval using pyramid matching with orientation features
Author :
Zhou, Rong ; Zhang, Liqing
Author_Institution :
Dept. of Comput. Sci. & Eng., Shanghai Jiao Tong Univ., Shanghai, China
Abstract :
We present a shape retrieval model using pyramid matching with orientation features. The orientation features have two kinds: one is for the edge of a shape, the other is for the angle of a shape. By capturing both edge and angle characteristics of a shape, combination of the two kinds of orientation features provides an efficient representation of a shape. Pyramid matching integrates the comparison between two shapes at different resolutions. So combination of the two kinds of orientation features and pyramid matching enhance the model´s retrieval performance. Our model is tested on two well-known databases: Kimia´s 99 database and MPEG7 CE shape-1 part B database, and achieves the effective performance compared with other methods.
Keywords :
feature extraction; image retrieval; Kimia 99 database; MPEG7 CE shape-1 part B database; orientation features; pyramid matching; shape angle; shape edge; shape retrieval model; Brain modeling; Computer science; Feature extraction; Gabor filters; Histograms; Image edge detection; Neurons; Shape measurement; Spatial databases; Testing; orientation features; pyramid matching; shape retrieval;
Conference_Titel :
Intelligent Computing and Intelligent Systems, 2009. ICIS 2009. IEEE International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-4754-1
Electronic_ISBN :
978-1-4244-4738-1
DOI :
10.1109/ICICISYS.2009.5357650
