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Proceedings Paper

Markov iterated function system model of images
Author(s): Huiguo Luo; Yaoting Zhu; Guang-Xi Zhu; Faguang Wan
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Paper Abstract

All images have two basic characters: geometry and texture. Basing the two characters, we present Markov Iterated Function System (MIFS) model, consisting of Iterated Function System (IFS) and Markov Random Field (MRF). The fractal images have self-similarities in statistics, especially in geometric topological structure. IFS is useful for discribing the self- similarities. In the meantime, we consider a texture to be a stochastic field and usually it is anisotropic. We choose MRF as the model of the texture. It is convenient to control the geometric characters and texture through changing the parameters of MIFS model. We explored a fast iterated algorithm to realize a MIFS sample and an algorithm to estimate the parameters of MIFS.

Paper Details

Date Published: 12 January 1993
PDF: 7 pages
Proc. SPIE 1771, Applications of Digital Image Processing XV, (12 January 1993); doi: 10.1117/12.139106
Show Author Affiliations
Huiguo Luo, Huazhong Univ. of Scinece and Technology (China)
Yaoting Zhu, Huazhong Univ. of Science and Technology (China)
Guang-Xi Zhu, Huazhong Univ. of Science and Technology (China)
Faguang Wan, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 1771:
Applications of Digital Image Processing XV
Andrew G. Tescher, Editor(s)

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