Texture synthesis using stochastic modeling

H. J. Liu; Zheng Tan; Wenbiao Zhang

doi:10.1117/12.248544

26 August 1996 Texture synthesis using stochastic modeling

H. J. Liu, Zheng Tan, Wenbiao Zhang

Proceedings Volume 2785, Vision Systems: New Image Processing Techniques; (1996) https://doi.org/10.1117/12.248544
Event: Lasers, Optics, and Vision for Productivity in Manufacturing I, 1996, Besancon, France

Abstract

The texture synthesis techniques have wide applications in the fields of computer graphics and imaginary objects creation in virtual environment. In this paper, we have a preliminary study on the scheme of 'steerable stochastic' texture synthesis. The schemes use the narrow-band noise (long-created wave) model to generate the macro structure of stochastic texture. By such modeling, the properties of texture are controlled by seven parameters. In order to acquire the reality in vision, random perturbations produced by fractional Brownian motion (fBm) were lead into the model to generate more details of the textural image. Experience results of typical textures are given.

Citation Download Citation

H. J. Liu, Zheng Tan, and Wenbiao Zhang "Texture synthesis using stochastic modeling", Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); https://doi.org/10.1117/12.248544

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