A Partitioning Image Retrieval Method Based on Regional Division and Polymerization

Article Preview

Abstract:

in order to further improve the retrieval accuracy of the image retrieval system based on shape feature. A partitioning image retrieval method based on regional division and polymerization is proposed in this paper. Firstly, an image is segmented by the regional division and polymerization method. Secondly, the shape and spatial features of different objects in the image are extracted by the invariant moment. Finally, images are retrieved by calculating the similarity of images, and five different types of images are tested by group. The experimental results show that it is more accurate for the algorithm to retrieve the users interested images.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

2218-2222

Citation:

Online since:

August 2013

Authors:

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Zhang D S, Lu G J. Study and evaluation of different Fourier methods for image retrieval,. Image and Vision Computing, 2005, 23(1): 33-49.

DOI: 10.1016/j.imavis.2004.09.001

Google Scholar

[2] Klassen E, Srivastava A, Mio W etc. Analysis of planar shape using geodesic paths on shape spaces,. IEEE Transactions on Pattern Analysis and Machine Intelliengce, 2004, 26(3): 372-383.

DOI: 10.1109/tpami.2004.1262333

Google Scholar

[3] Jing F, Li M J, Zhang H J etc. An efficient and effective region-based image retrieval framework,. IEEE Transactions on Image Processing, 2004, 13(5): 699-708.

DOI: 10.1109/tip.2004.826125

Google Scholar

[4] Jia H Y. the design and implementation of image retrieval system based on content,. Tianjin University, (2006).

Google Scholar

[5] Huang Y, Wang C J, Wang L, etc. Research on Image Retrieval Algorithm Based on Moment Invariant,. Application Research of Computers, 2004, 21(7): 256-257.

Google Scholar

[6] Xie C P, Sun J G, Cui C F. Contour-based Image Retrieval Method,. Journal of NINGBO University, 2007, 20(4): 438-440.

Google Scholar

[7] Rafael C. Gonzalez, Richard E. Woods, digital image process[M]. 3th ed. Beijing: Publishing House of electronics industry, 2011: 495-497.

Google Scholar

[8] Shi Y G, Zou M Y. performance comparison of statistics based similarity measures for image registration,. Chinese Journal of Computers, 2004, 27(9): 1278-1283.

Google Scholar

[9] Wang T, Hu S M, Sun J G. Image Retrieval Based on Color-Spatial Feature, Journal of Software, 2002, 13(10): 2031-(2036).

Google Scholar