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

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

研究成果: Conference contribution

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Conference Proceedings
頁面98-103
頁數6
DOIs
出版狀態Published - 2013 九月 9
事件2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013 - Tainan, Taiwan
持續時間: 2013 五月 32013 六月 2

出版系列

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

Other

Other2013 International Conference on Advanced Robotics and Intelligent Systems, ARIS 2013
國家Taiwan
城市Tainan
期間13-05-0313-06-02

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Control and Systems Engineering

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  • 引用此

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