Fault-tolerant image filter design using Particle Swarm Optimization

Zhiguo Bao, Fangfang Wang, Xiaoming Zhao, Takahiro Watanabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper describes mixed constrained image filter design with fault tolerant using Particle Swarm Optimization (PSO) on a reconfigurable processing array. There may be some faulty Configurable Logic Blocks (CLBs) in a reconfigurable processing array. The proposed method with PSO autonomously synthesizes a filter fitted to the reconfigurable device with some faults, to optimize the complexity and power of a circuit, and signal delay in both CLBs and wires. An image filter for noise reduction is experimentally synthesized to verify the validity of our method. By evolution, the quality of the optimized image filter on a reconfigurable device with a few faults is almost same as that with no fault.

Original languageEnglish
Title of host publicationProceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11
Pages653-658
Number of pages6
Publication statusPublished - 2011
Event16th International Symposium on Artificial Life and Robotics, AROB '11 - Beppu, Oita
Duration: 2011 Jan 272011 Jan 29

Other

Other16th International Symposium on Artificial Life and Robotics, AROB '11
CityBeppu, Oita
Period11/1/2711/1/29

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Keywords

  • Fault tolerant
  • Mixed constrained image filter design
  • Particle Swarm Optimization

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Bao, Z., Wang, F., Zhao, X., & Watanabe, T. (2011). Fault-tolerant image filter design using Particle Swarm Optimization. In Proceedings of the 16th International Symposium on Artificial Life and Robotics, AROB 16th'11 (pp. 653-658)