Power Law Dependencies to Detect Regions of Interest-Reference-Cited by-同舟云学术

Power Law Dependencies to Detect Regions of Interest

Published:2003 Issue: Volume: Page:495-503
ISSN:0302-9743
Container-title:Discrete Geometry for Computer Imagery
language:
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Author:

Caron Yves,Charpentier Harold,Makris Pascal,Vincent Nicole

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-39966-7_47

Reference14 articles.

1. Beaver, P., Quirk, S.M., Sattler, J.P.: Object Identification in Greyscale Imagery using Fractal Dimension. In: Novak, M. (ed.) Fractal Reviews in the Natural and Applied Science, pp. 63–73. Chapman & Hall, London (1995)

2. Kadir, T., Brady, M.: Scale, Saliency and Image Description. International Journal of Computer Vision 45(2), 83–105 (2001)

3. Wang, J.Z., Li, J., Gray, R.M., Wiederhold, G.: Unsupervised Multiresolution Segmentation for Images with Low Depth of Field. IEEE Transactions on Pattern Analysis and Machine Intelligence 23(1), 85–90 (2001)

4. Zipf, G.K.: Human Behavior and the Principle of Least Effort. Addison-Wesley, New York (1949)

5. Miller, G.A., Newman, E.B.: Test of a Statistical Explanation of the Rank-Frequency Relation for Words in Written English. American Journal of Psychology 71, 209–218 (1958)

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