Impulse Noise Filtering Algorithm Based on Dual Threshold Criterion

Yu Lan Wei; Bing Li; Jian Dong Li; Ying Ying Fan

doi:10.4028/www.scientific.net/AMM.437.849

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 437Impulse Noise Filtering Algorithm Based on Dual...

Impulse Noise Filtering Algorithm Based on Dual Threshold Criterion

Abstract:

In order to filter the impulse noise existing in the weld surface defect images, the traditional median filtering will dim image, even destroy some details in the image, We put forward a new filtering algorithm based on dual threshold Criterion. This way distinguishes the noise point and signal location in the first, and it only doing median filter to the noise point. Lastly, it solves the image’s boundary. We can find it when compared to the traditional median filtering and modified extremum median filtering, the way in this article can be good for filtration, and can keep the image’s details, which have obvious advantage.

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Periodical:

Applied Mechanics and Materials (Volume 437)

Pages:

849-852

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.437.849

Citation:

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Online since:

October 2013

Authors:

Yu Lan Wei*, Bing Li, Jian Dong Li, Ying Ying Fan

Keywords:

Boundary Treatment, Median Filtering, Noise Point, Threshold Value, Welding Line

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* - Corresponding Author

References

[1] Y. Sun, H. Sun and P. Bai, et al. Real-time automatic detection of weld defects in X-ray images. Transactions of the China Welding Institution. 25 (2004) 115-118.

Google Scholar

[2] L. Zhang. Robots laser weld quality detection technology research based on computer vision. Shenyang Institute of Automation Chinese Academy of Sciences, (2008).

Google Scholar

[3] H. Sun, F. Li and H. Shang, et al. Salt-and-pepper noise removal by variation method based on improved adaptive median filter. Journal of Electronics & Information Technology. 33 (2011) 1743-1747.

DOI: 10.3724/sp.j.1146.2010.01295

Google Scholar

[4] X. Niu. Research on several improved median filter algorithms. Sichuan Normal University, (2012).

Google Scholar

[5] J. Zhang and Y. Fan. Image impulse noise filtering algorithm. Computer Engineering and Design. 31 (2010) 3845-3847.

Google Scholar

[6] S. Yan. Research on filtering algorithms for impulse noise in gray image. Shanghai Jiaotong Univeristy, (2006).

Google Scholar

[7] J. Wang and L. Lin. Improved median filter using min-max algorithm for image processing. Electronics Letters. 33 (1997) 1362-1363.

DOI: 10.1049/el:19970945

Google Scholar

[8] H. Wang, Y. Li and K. Zhang, et al. An image filtering algorithm based on extremum detection. Laser & Infrared. 37 (2007) 1117-1119.

Google Scholar

[9] G. Jiang, D. Huang and X. Wang, et al. Overview on image quality assessment methods. Journal of Electronics and Information Technology. 32 (2010) 219-226.

Google Scholar