Abstract
For content-based image retrieval, shape information is of great importance. This paper presents a shape descriptor of imaged leaf objects according to their boundaries for image retrieval. We take picture of leaves, exact the sketch from original images and produce a low dimensional feature vector to describe the shape. By comparing the similarity of the query image with those in database, a set of images with shape similarity are retrieved. The experiment shows that the method has high reliability and less time consuming.
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Marinette Bouet, Ali Khenchaf, Henri Briand, “Shape representation for image retrieval,” Proceedings of the seventh ACM international conference on Multimedia (Part 2), pp: 1–4, 1999
Hwei-Jen Lin, Yang-Ta Kao, Shwu-Huey Yen, Chia-Jen Wang, “A Study of Shape-Based Image Retrieval,” 24th International Conference on Distributed Computing Systems Workshops, pp. 118–123, 03 23–03, 2004
H Freeman, “On the encoding of arbitrary geometric configurations,” IEEE Trans. Electron. Comput, vol. 10, no. 2, pp. 260–268, 1961.
H Freeman and L S Davis, “A corner finding algorithm for chain coded curves,” IEEE Transactions on computers, vol. 26, pp. 297–303, 1977.
C T Zahn and R Z Roskies, “Fourier descriptors for plane closed curves,” IEEE Trans. Comput., vol. C-21, no. 3, pp. 269–281, 1972.
E Peerson and K S Fu, “Shape discrimination using Fourier descriptor,” IEEE Trans. Syst, Man, Cybern., vol. SMC-7, no. 3, pp. 170–179, 1977.
T. Bernier, J.A. Landry, A new method for representing and matching shapes of natural objects. Pattern Recognition 36 (2003) 1711–1723.
H. Nishida, Structural feature indexing for retrieval of partially visible shapes. Pattern Recognition 35 (2002) 55–67.
A. Hong, G. Chen, J. Li, Z. Chi, and D. Zhang, “A Flower Image Retrieval Method Based on ROI Feature,” Journal of Zhejiang University (Science) Vol. 5, No. 7, pp.764–772, July 2004.
Rui, Y., She, AC, and Huang, T.S. Modified Fourier Descriptors for Shape Representation-A Practical Approach. Proc. of First Int’l Workshop on Image Databases and Multi Media Search, Amsterdam, The Netherlands, 1996.
D. Shen and H.H.S. Ip, “Generalized affine invariant image normalization,” IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. 19, no. 5, pp.431–440, 1997.
C. S. Fuh and H. B. Liu, “Projection for Pattern Recognition,” Image and Vision Computing, vol. 16, pp. 677–687, 1998.
E. Klassen, A. Srivastava, W. Mio, and S. Joshi, “Analysis of Planar Shapes Using Geodesic Paths on Shape Spaces,” IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 3, pp. 372–383, Mar. 2004.
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© 2005 International Federation for Information Processing
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Shen, Y., Zhou, C., Lin, K. (2005). Leaf Image Retrieval Using a Shape Based Method. In: Li, D., Wang, B. (eds) Artificial Intelligence Applications and Innovations. AIAI 2005. IFIP — The International Federation for Information Processing, vol 187. Springer, Boston, MA. https://doi.org/10.1007/0-387-29295-0_77
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DOI: https://doi.org/10.1007/0-387-29295-0_77
Publisher Name: Springer, Boston, MA
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