TEXTURE SYNTHESIS BY GENETIC ALGORITHM

Main Article Content

Mayada F. Abdul-Halim Abdul-Halim

Abstract

One way to synthesis texture in a fast and easy way is image quilting proposed by Efros and Freeman in
2001. This research brings the adaptive search power of genetic algorithm and combines it with the
concept of image quilting to propose new texture synthesis algorithm. The proposed GA is ran on many
different images from standard texture sets. Visual comparison of our proposed GA with image quilting
algorithm is considered. The texture results generated by the proposed GA are roughly comparable in
quality to those generated from Efros and Freeman algorithm.

Article Details

How to Cite
“TEXTURE SYNTHESIS BY GENETIC ALGORITHM” (2007) Journal of Engineering, 13(01), pp. 1210–1220. doi:10.31026/j.eng.2007.01.05.
Section
Articles

How to Cite

“TEXTURE SYNTHESIS BY GENETIC ALGORITHM” (2007) Journal of Engineering, 13(01), pp. 1210–1220. doi:10.31026/j.eng.2007.01.05.

Publication Dates

References

Efros A. A. and Freeman. W. T. (2001): Image quilting for texture synthesis and transfer. In Proceedings of ACM SIGGRAPH 2001, Computer Graphics Proceedings, pages 341–346.

Brodatz, P. (1966): Textures: A Photographic Album for Artists and Designers. Dover, New work

Goldberg, D. E. (1989): Genetic Algorithms in Search, Optimization, and Machine Learning, Addison Wesley.

Grefenstette, J. J. (1986): Optimization of control parameters for genetic Algorithms, IEEE Transaction on Systems, Man, and Cybernetics, vol. SMC-16, no. 1.

Mitchell, M. (1998): An Introduction to genetic Algorithms, A Bradford Book, The MIT press.

Pohleheim, H. (1998): GEATbx: Genetic and Evolutionary Algorithm Toolbox for use with MATLAB, available at http://www.geatbx.com/index.html.

Spears, W. M. (1997): Recombination Parameters, Handbook of Evolutionary Computation, eds., T.Back and Z. Michalewies, IOP publishing and Oxford University Prees.

Similar Articles

You may also start an advanced similarity search for this article.