Title :
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
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;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.271
