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A New BiGaussian Edge Filter

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Computer Science and Convergence

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 114))

Abstract

Edge detection has been the foremost step in image processing and computer vision, because an edge representation drastically reduces the amount of data to be processed. Although classical methods of edge detection like Sobel, Canny, etc. are simple to use but has a dilemma between noise removal and edge localization. If noise is to be removed by using a low pass filter then edges are blurred. However, if edges have to be preserved then noise severly corrupts the edge map. In this paper, we have proposed a new method of edge detection, BiGaussian edge Filter, which simultaneously removes noise from real life images, while generating well localized edges. We have compared our method using images form Berkely’s segmentation data set. Experimental results show the robustness of our method to noise in real life images.

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Acknowledgments

This work was supported by Ministry of Knowledge Economy (MKE) through IDEC Platform center (IPC) at Hanyang University. Moreover, Ehsan and Jahanzeb were supported by ‘Higher Education Commission (HEC)’ from the Government of Pakistan under the scholarship program titled: MS level Training in Korean Universities/Industry.

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Authors and Affiliations

  1. Department of Electronics and Computer Engineering, Hanyang University, Ansan, South Korea

    Ehsan Ul Haq, Syed Jahanzeb Hussain Pirzada & Hyunchu Shin

Authors
  1. Ehsan Ul Haq
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  2. Syed Jahanzeb Hussain Pirzada
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  3. Hyunchu Shin
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Corresponding author

Correspondence to Ehsan Ul Haq .

Editor information

Editors and Affiliations

  1. SeoulTech, Computer Science and Engineering, Seoul University of Science & Technology, Gongreung 2-dong 172, Seoul, 139-742, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Inst. Computer Science & Information, Engineering, National Ilan University, 1 Sec. 1, Shen-Lung Rd., I-Lan, 260, Taiwan R.O.C.

    Han-Chieh Chao

  3. , Computer Science & Software Engineering, Monmouth University, W. Long Branch, 07764, USA

    Mohammad S. Obaidat

  4. , Division of e-Business, Kyungnam University, Changwon, Korea, Republic of (South Korea)

    Jongsung Kim

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© 2012 Springer Science+Business Media B.V.

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Haq, E.U., Pirzada, S.J.H., Shin, H. (2012). A New BiGaussian Edge Filter. In: J. (Jong Hyuk) Park, J., Chao, HC., S. Obaidat, M., Kim, J. (eds) Computer Science and Convergence. Lecture Notes in Electrical Engineering, vol 114. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-2792-2_14

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  • DOI: https://doi.org/10.1007/978-94-007-2792-2_14

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-2791-5

  • Online ISBN: 978-94-007-2792-2

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