Composite Texture Synthesis

Many textures require complex models to describe their intricate structures. Their modeling can be simplified if they are considered composites of simpler subtextures. After an initial, unsupervised segmentation of the composite texture into the subtextures, it can be described at two levels. One is a label map texture, which captures the layout of the different subtextures. The other consists of the different subtextures. This scheme has to be refined to also include mutual influences between textures, mainly found near their boundaries. The proposed composite texture model also includes these. The paper describes an improved implementation of this idea. Whereas in a previous implementation subtextures and their interactions were synthesized sequentially, this paper proposes a parallel implementation, which yields results of higher quality.

[1]  Enrique H. Ruspini,et al.  A New Approach to Clustering , 1969, Inf. Control..

[2]  Songde Ma,et al.  Sequential synthesis of natural textures , 1985, Comput. Vis. Graph. Image Process..

[3]  Michael Spann,et al.  A new approach to clustering , 1990, Pattern Recognit..

[4]  R. Graham,et al.  Handbook of Combinatorics , 1995 .

[5]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  Neil A. Thacker,et al.  The Bhattacharyya metric as an absolute similarity measure for frequency coded data , 1998, Kybernetika.

[7]  Emanuele Trucco,et al.  Robust motion and correspondence of noisy 3-D point sets with missing data , 1999, Pattern Recognit. Lett..

[8]  Joachim M. Buhmann,et al.  Histogram clustering for unsupervised segmentation and image retrieval , 1999, Pattern Recognit. Lett..

[9]  R. Paget Nonparametric Markov Random Field Models for Natural Texture Images , 1999 .

[10]  Georgy L. Gimel'farb,et al.  Image Textures and Gibbs Random Fields , 1999, Computational Imaging and Vision.

[11]  Dorin Comaniciu,et al.  Real-time tracking of non-rigid objects using mean shift , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

[12]  Serge J. Belongie,et al.  Model-based halftoning for color image segmentation , 2000, Proceedings 15th International Conference on Pattern Recognition. ICPR-2000.

[13]  Luc Van Gool,et al.  A Compact Model for Viewpoint Dependent Texture Synthesis , 2000, SMILE.

[14]  K. Boyer,et al.  Perceptual Organization for Artificial Vision Systems , 2000 .

[15]  Marc Levoy,et al.  Fast texture synthesis using tree-structured vector quantization , 2000, SIGGRAPH.

[16]  Luc Van Gool,et al.  Real-time affine region tracking and coplanar grouping , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[17]  David Salesin,et al.  Image Analogies , 2001, SIGGRAPH.

[18]  Luc Van Gool,et al.  Composite Texture Descriptions , 2002, ECCV.

[19]  Jitendra Malik,et al.  Contour and Texture Analysis for Image Segmentation , 2001, International Journal of Computer Vision.

[20]  Sung Yong Shin,et al.  On pixel-based texture synthesis by non-parametric sampling , 2006, Comput. Graph..