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LPDZ95

X. Liu, J. Peng, M. Ding, J. Zhou. Image Matching Based on Fractal Image Coding. In The International Society For Optical Engineering, Volume 2620, Pages 0-0, 1995.

Abstract

In this paper, we use the approach of fractal segmentation and improved fractal image coding, and match images by the decoded images which we use as the fractal features of original images, taking the advantage of the stable features which the images of nature scences have. Experiments show that much higher accuracy and probability of matching for images of nature scences than traditional methods such as Mean Absolute Difference of graylevel or edge features were obtained.

BibTex Reference

@InProceedings{LPDZ95,
   Author = {Liu, X. and Peng, J. and Ding, M. and Zhou, J.},
   Title = {Image Matching Based on Fractal Image Coding},
   BookTitle = {The International Society For Optical Engineering},
   Volume = {2620},
   Pages = {0--0},
   Series = {Proc. SPIE},
   Year = {1995}
}


Last update: 01.04.2004 by Ivan Kopilovic