Unified structural-stochastic model for texture analysis and synthesis

Joseph M. Francos, A. Zvi Meiri

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

A highly nonrestrictive model and procedure for texture analysis and synthesis are presented. The texture is modeled by three independent components: global structural, local structural and stochastic. The texture's global (directional and periodic) components are identified, parameterized and reconstructed through spectral analysis. Local structural components are extracted by parameterizing the line singularities. The stochastic component is modeled, analyzed and synthesized by a 2-D, half-plane finite-dimension autoregressive model. The model is very efficient in terms of the number of parameters required to represent and reconstruct a given texture faithfully.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherPubl by IEEE
Pages41-45
Number of pages5
ISBN (Print)0818608781
StatePublished - 1 Dec 1988
Externally publishedYes

Publication series

NameProceedings - International Conference on Pattern Recognition

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