Handbook of pattern recognition & computer vision
Pyramid-based texture analysis/synthesis
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Extracting periodicity of a regular texture based on autocorrelation functions
Pattern Recognition Letters
Artificial intelligence: a new synthesis
Artificial intelligence: a new synthesis
Filters, Random Fields and Maximum Entropy (FRAME): Towards a Unified Theory for Texture Modeling
International Journal of Computer Vision
Image quilting for texture synthesis and transfer
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time texture synthesis by patch-based sampling
ACM Transactions on Graphics (TOG)
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part IV
Multiresolution Block Sampling-Based Method for Texture Synthesis
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Texture Synthesis by Non-Parametric Sampling
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Graphcut textures: image and video synthesis using graph cuts
ACM SIGGRAPH 2003 Papers
EGRW '03 Proceedings of the 14th Eurographics workshop on Rendering
Towards a texture naming system: identifying relevant dimensions of texture
VIS '93 Proceedings of the 4th conference on Visualization '93
A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups
IEEE Transactions on Pattern Analysis and Machine Intelligence
Near-regular texture analysis and manipulation
ACM SIGGRAPH 2004 Papers
The Promise and Perils of Near-Regular Texture
International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Automatic peak number detection in image symmetry analysis
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
Using evolutionary algorithms as instance selection for data reduction in KDD: an experimental study
IEEE Transactions on Evolutionary Computation
Fractal-Based Description of Natural Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Texture coding using a Wold decomposition model
IEEE Transactions on Image Processing
Texture synthesis via a noncausal nonparametric multiscale Markov random field
IEEE Transactions on Image Processing
Lattice estimation from images of patterns that exhibit translational symmetry
Image and Vision Computing
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Near-regular texture is probably among the most difficult to handle in the texture synthesis area, because the synthesis must preserve the holistic structural property and the local randomness simultaneously. In this paper, motivated by the relationship between a near-regular texture image and an evolutionary system, we propose a novel texture synthesis algorithm. By defining individuals with appropriate attributes and behaviors, we convert the texture synthesis problem to an evolution process of an evolutionary system. It can achieve high-quality synthesized results on a large variety of near-regular textures without any extra overhead for memory and pretreatment, and the speed approaches real-time. Moreover, it can be easily generalized to deal with other kinds of textures.