Neural Computing and Applications

, Volume 18, Issue 3, pp 223–235 | Cite as

Robust tile-based texture synthesis using artificial immune system

Original Article

Abstract

One significant problem in tile-based texture synthesis is the presence of conspicuous seams in the tiles. The reason is that sample patches employed as primary patterns of the tile set may not be well stitched if carelessly picked. In this paper, we introduce a robust approach that can stably generate an ω-tile set of high quality and pattern diversity. First, an extendable rule is introduced to increase the number of sample patches to vary the patterns in an ω-tile set. Second, in contrast to other concurrent techniques that randomly choose sample patches for tile construction, ours uses artificial immune system (AIS) to select the feasible patches from the input example. This operation ensures the quality of the whole tile set. Experimental results verify the high quality and efficiency of the proposed algorithm.

Keywords

Texture synthesis ω-tile Sample patches selection Clonal selection Artificial immune system 

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Copyright information

© Springer-Verlag London Limited 2008

Authors and Affiliations

  1. 1.LIAMA-NLPRCAS Institute of AutomationBeijingChina
  2. 2.Project ALICEINRIA Lorraine/LoriaNancyFrance
  3. 3.Department of Computer Science and TechnologyTsinghua UniversityBeijingChina
  4. 4.INRIA/Tsinghua UniversityBeijingChina

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