Ant colony optimization based fuzzy image filter design for removal of impulse noises

Min Chi Kao, Chia Hung Lin, Tzuu Hseng S. Li

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

1 Citation (Scopus)

Abstract

The digital images are easily affected by the noises. If the image has serious damage or high-noise, the traditional image filters are usually unable to handle well. A new efficient impulse noise removal technique is presented in this paper. The advantages of the fuzzy system is utilized to improve the traditional median filter, and an ant colony optimization (ACO) algorithm is used to adjust the parameters of fuzzy image filter and make the filter to achieve better performance. From the MSE and PSNR points of view, the final image filtering results demonstrate the effectiveness and feasibility of the proposed method.

Original languageEnglish
Title of host publication2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings
Pages98-103
Number of pages6
DOIs
Publication statusPublished - 2013 Sep 9
Event2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Tainan, Taiwan
Duration: 2013 May 32013 Jun 2

Publication series

Name2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings

Other

Other2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013
CountryTaiwan
CityTainan
Period13-05-0313-06-02

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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    Kao, M. C., Lin, C. H., & Li, T. H. S. (2013). Ant colony optimization based fuzzy image filter design for removal of impulse noises. In 2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings (pp. 98-103). [6573542] (2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings). https://doi.org/10.1109/ARIS.2013.6573542