References

1

N.W. Campbell, W.P.J. Mackeown, B.T. Thomas, and T. Troscianko. Interpreting Image Databases by Region Classification. Pattern Recognition, 30, 1997.

2

S.K. Chang and C.C. Yang. Picture Information Measures for Similarity Retrieval. Computer Vision, Graphics and Image Processing, 23:366-375, 1982.

3

M. De Marsicoi, L. Cinque, and Levialdi. Indexing Pictorial Documents by their Content: A Survey of Current Techniques. Image and Vision Computing, 15:119-141, 1997.

4

T. Kato, T. Turita, N. Otsu, and K. Hirata. A Sketch Retrieval Method for Full Colour Image Databases. In Proceedings of the 11th International Conference on Pattern Recognition, pages 530-533, 1992.

5

T. Kohonen, J. Kangas, J. Laaksonen, and K. Torkkola. LVQ-PAK: A Program Package for the Correct Appliaction of Learning Vector Quantization Algorithms. In Proceedings of the International Conference on Neural Networks, volume I, pages 725-730, 1992.

6

Y.W. Lim and S.U. Lee. On the colour image segmentation algorithm based on the thresholding and the fuzzy c-means techniques. Pattern Recognition, 23:935-952, 1990.

7

M. Flickner et al. Query by Image Content and Video Content: The QBIC System. Computer, 28(9):23-32, 1995.

8

C.A. Micchelli. Interpolation of scattered data: Distance matrices and conditionally positive definite functions. Constructive Approximation, 2:11-22, 1986.

9

R.W. Picard and F. Liu. A New Wold Ordering for Image Similarity. In Proceedings on the IEE Conference on Acoustics, Speech and Signal Processing, volume 5, pages 129-132, 1994.

10

M.J.D. Powell. Algorithms for Approximation, pages 143-167. Oxford, 1987.

11

H. Samet. The Quadtree and Related Hierarchical Data Structures. ACM Computing Surveys, 2:187-259, 1984.