Image Retrieval via Geometric Constraints Histogram Descriptor Based on Curvature Graph

Author

Xie, Yonghua ; OhEigeartaigh, Micheal

Author_Institution

Inst. of Comput., Nanjing Univ. of Inf. Sci. & Technol., Nanjing, China

Volume

5

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

392

Lastpage

396

Abstract

A new statistical descriptor of geometric constraints histogram (GCHD) based on curvature graph for image retrieval is presented in this paper. Through this method, the image contour curvature graph is firstly computed, and the edge and angle geometric constraints based on the curvature graph are extracted. Then the histogram algorithm is applied on the geometric constraints to obtain the statistical histogram descriptor. Experimental results validate the satisfactory performance of the proposed descriptor.

Keywords

content-based retrieval; graph theory; image retrieval; statistical analysis; angle geometric constraints; content-based image retrieval methods; curvature graph; edge geometric constraints; geometric constraints histogram descriptor; image contour curvature graph; image retrieval; statistical histogram descriptor; Computational efficiency; Content based retrieval; Fourier transforms; Frequency shift keying; Fuzzy systems; Histograms; Image retrieval; Information retrieval; Robustness; Shape;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3735-1

Type

conf

DOI

10.1109/FSKD.2009.271

Filename

5360593