Texton-based texture synthesis

Peng Song; Xiangxu Meng; Changhe Tu; Chenglei Yang

doi:10.1117/12.561123

19 March 2004 Texton-based texture synthesis

Peng Song, Xiangxu Meng, Changhe Tu, Chenglei Yang

Proceedings Volume 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry; (2004) https://doi.org/10.1117/12.561123
Event: Fourth International Conference On Virtual Reality and Its Applications in Industry, 2003, Tianjin, China

Abstract

A texton-based texture synthesis algorithm is presented in this paper. Based on the Markov Random Field (MRF) model, the algorithm takes a block randomly from a given sample texture to form a seed area in the center of the synthesized output texture, then synthesizes the output image pixel by pixel spirally along the edge of the seed area. When sampling a pixel from the sample texture in the synthesis procedure, the algorithm adopts so-called candidate search, global search and central search to preserve the integralities of textons in the synthesized output texture. It was practically improved that the algorithm does better than the existing methods in quality for synthesizing most kinds of textures, especially for synthesizing the complex textures.

Citation Download Citation

Peng Song, Xiangxu Meng, Changhe Tu, and Chenglei Yang "Texton-based texture synthesis", Proc. SPIE 5444, Fourth International Conference on Virtual Reality and Its Applications in Industry, (19 March 2004); https://doi.org/10.1117/12.561123

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