Polymorphic Image Filters

Aus de_evolutionary_art_org
Wechseln zu: Navigation, Suche


Vojtech Salajka: Polymorphic Image Filters. Information Sciences and Technologies: Bulletin of the ACM Slovakia, 4(4), pp. 53-54, December 2012.



This paper deals with evolutionary design of a special type of image filters – polymorphic image filters. The proposed solution extends an approach for designing conventional image filters which uses Cartesian Genetic Programming. A method for accelerating the fitness function on GPU is described. We evolved polymorphic image filters ca- pable of suppresing different combinations of noise and performing edge detection.

Extended Abstract


Used References

[1] V. Salajka. Polymorphic image filters. Master’s thesis, Faculty of Information Technology, Brno University of Technology, 2011.

[2] L. Sekanina, R. R ̊užiˇcka, Z. Vašíˇcek, R. Prokop, and L. Fujcik. Repomo32 - new reconfigurable polymorphic integrated circuit for adaptive hardware. In Proc. of the 2009 IEEE Symposium Series on Computational Intelligence - Workshop on Evolvable and Adaptive Hardware, pages 39–46. IEEE Computational Intelligence Society, 2009.

[3] L. Sekanina and V. Salajka. Towards new applications of multi-function logic: Image multi-filtering. In Proc. of the Design, Automation and Test in Europe, DATE, pages 824–827. EDAA, 2012.

[4] L. Sekanina, V. Salajka, and Z. Vašíˇcek. Two-step evolution of polymorphic circuits for image multi-filtering. In 2012 IEEE World Congress on Computational Intelligence, pages 432–439, 2012.

[5] L. Sekanina, Z. Vašíˇcek, R. R ̊užiˇcka, M. Bidlo, J. Jaroš, and P. Švenda. Evoluˇcní hardware. Academia, 2009.

[6] A. Stoica, R. Zebulum, X. Guo, D. Keymeulen, I. Ferguson, and V. Duong. Taking Evolutionary Circuit Design From Experimentation to Implementation: Some Useful Techniques and a Silicon Demonstration. IEE Proc.-Comp. Digit. Tech., 151(4):295–300, 2004.

[7] S. Tanachutiwat, J. U. Lee, W. Wang, and C. Y. Sung. Reconfigurable multi-function logic based on graphene p-n junctions. In Design Automation Conference, DAC, pages 883–888. ACM, 2010.


Full Text


intern file

Sonstige Links