A NEW APPROACH TO SHAPE-BASED IMAGE RETRIEVAL
S. Loncarin, A survey of shape analysis techniques, Pattern Recognit. 31 (5) (1998), pp. 983–1001.
R. Veltkamp and M. Hagedoorn, State of the art in shape matching, Utrecht, The Netherlands, Tech. Rep. UU-CS-1999-27, 1999.
E. G. M. Petrakis, A. Diplaros, and E. Millos, Matching and retrieval of distorted and occluded shapes using dynamic programing, IEEE Trans. Pattern Anal. Machine Intell. vol. 24 (11) (2002), pp. 1501–1516.
M. Bober, MPEG-7 visual shape descriptors, IEEE Trans. Circuits Syst. Video Technol. 11 (6) (2001), pp. 716–719.
H. Kauppinen, T. Seppanen, and M. Pietikainen, An experimental comparison of autoregressive and fourier-based descriptors in 2-D shape classification, IEEE Trans. Pattern Anal. Machine Intell.17 (2) (1995), pp. 201–207.
H. Blum, A transformation for extracting new descriptors of shape, in Whaten-Dunn, Editor, Models for Perception of Speech and Visual Forms. Cambridge, MA: MIT Press, 1967, pp. 362–380.
H. Blum, Biological shape and visual science (part1), J. Theoretic. Biol., no. 38, 1973, pp. 205–287.
T. Sebastian, P. Klein, and B. Kimia, Recognition of shapes by editing shock graphs, in “Proc. 8th Int. Conf. Computer Vision”, Vancouver, BC, Canada, 2001, pp. 755–762.
M.Ch.Amirani, Z.Sadeghi and A.A.Beheshti, Shape-based Image Retrieval Using a Neural Network, Proceedings of the “Fifth International Conference on Neural Networks and Artificial Intelligence (ICNNAI’2008)”, Minsk, Belarus, 27-30 May 2008.
Gaetan Kerschen1 and Jean-Claude Golinval, Feature extraction using auto-associative neural networks, Smart Materials and Structures, 13 (2004),pp. 211–219.
- There are currently no refbacks.