Interactive EC-based Signal Processing

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Hideyuki Takagi and Norimasa Hayashida: Interactive EC-based Signal Processing. 4th Asia-Pacific Conference on Simulated Evolution And Learning (SEAL2002), Singapore, pp.375-379 (November 18-22, 2002).



We introduce new types of signal processing for which the characteristics of the signal processing filters are designed automatically by interactive evolutionary computation (IEC) based on human perception, such as hearing or vision. We first describe our existing works that use this approach, such as recovering distorted speech and hearing-aid fitting, as well as other related works in this field. Next, we evalu- ate the capabilities of visual-based image signal processing using IEC and compare it with conventional linear filters for the tasks of edge detection, high pass filtering, and horizon- tal / vertical component filtering. The experimental com- parisons show that the performances of both methods are similar, which means that the new approach, without a pri- ori knowledge on signal processing, is useful when signal processing users are not signal processing experts such as is the case in medical image processing or photo-retouch design.

Extended Abstract


Used References

[1] Hayashida, N. and Takagi, H., “Visualized IEC: In- teractive evolutionary computation with multidimen- sional data visualization” in IEEE Industrial Elec- tronics, Control and Instrumentation (IECON 2000), Nagoya, Japan, pp. 2738–2743 (Oct., 2000).

[2] Hayashida N. and Takagi H., “Acceleration of EC Convergence with Landscape Visualization and Hu- man Intervention,” Applied Soft Computing, Elsevier Science, (will appear in 2002).

[3] Mutoh, T., Komagata, N., and Ueda, K., “An Experi- mental Study for Automatically Generating Image Fil- ter Sequence by Using Simulated Breeding,” Work- shop on Interactive Evolutionary Computation, pp. 7– 12, Fukuoka, Japan (Mar., 1998) (in Japanese).

[4] Ohsaki, M. and Takagi, H., “Application of Interactive Evolutionary Computation to Optimal Tuning of Digi- tal Hearing Aids,” in 5th Int. Conf. on Soft Computing (IIZUKA’98), pp.849–852, Iizuka, Fukuoka, Japan: World Scientific, Singapore (Oct., 1998).

[5] Ohsaki, M. and Takagi, H., “Design and Development of an IEC-based Hearing Aids Fitting System,” in 4th Asia Fuzzy System Symposium (AFSS’00), Tsukuba, Japan, pp.543–548 (May, 2000).

[6] Otoba, K., Tanaka, K. ,and Hitafuji, M., “Image Pro- cessing and Interactive Selection with Java Based on Genetic Algorithms,” 3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture, pp. 83–88, Makuhari, Japan (Apr., 1998).

[7] Poli, R. and Cagnoni, S., “Genetic programming with user-driven selection: Experiments on the evolution of algorithms for image enhancement,” in 2nd Annual Conf. on Genetic Programming, 1997, pp. 269–277.

[8] Takagi, H., Kamohara, S., and Takeda, T., “Introduc- tion of Soft Computing Techniques to Welfare Equip- ment,” in 1999 IEEE Midnight-Sun Workshop on Soft Computing Methods in Industrial Applications (SM- Cia’99), Kuusamo, Finland, pp.116–121 (June, 1999)

[9] Takagi, H. and Ohsaki, M., “IEC-based Hearing Aids Fitting,” in IEEE Int. Conf. on Systems, Man, and Cy- bernetics (SMC’99), Tokyo, Japan, III, pp.657–662 (Oct., 1999).

[10] Takagi, H., “Active user intervention in an EC search,” in Int. Conf. on Information Sciences (JCIS2000), At- lantic City, NJ, USA, pp. 995–998 (Feb./Mar., 2000).

[11] Takagi, H., “Interactive Evolutionary Computation: Fusion of the Capacities of EC Optimization and Hu- man Evaluation,” in Proceedings of the IEEE, 89(9), pp.1275–1296 (2001).

[12] Todoroki, Y. and Takagi, H, “User Interface of an Interactive Evolutionary Computation for Speech Processing,” in 6th Int. Conf. on Soft Computing (IIZUKA2000), Iizuka, Fukuoka, Japan: World Scien- tific, Singapore, pp.112–118 (Oct., 2000).

[13] Watanabe, T. and Takagi, H., “Recovering system of the distorted speech using interactive genetic algo- rithms,” in IEEE Int. Conf. on Systems, Man and Cy- bernetics (SMC’95), Vancouver, Canada, Oct. 1995, 1, pp. 684–689.


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