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A Modified Approach for the Removal of Impulse Noise from Mammogram Images

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Advances in Signal Processing and Intelligent Recognition Systems (SIRS 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1209))

Abstract

This paper proposes an integrated approach for removing impulse noise from digital mammograms, which employs a detection method followed by a filtering mechanism. This detection is done using Modified Robust Outlyingness Ratio (MROR) mechanism and a subsequent filtering by an extended Non Local means (NL-means) framework. The pixels in mammograms are grouped into four different clusters based on MROR value, following which different decision rules are applied, to detect the impulse noise in each cluster. The NL-means filter is extended by introducing a reference image obtained from the two stage process. The performance of the proposed filter was evaluated quantitatively and qualitatively by experimental analysis and the results were compared with several existing filters. The results show that the proposed method outperforms standard procedures for impulse noise removal, even for high noise levels.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Sree Ayyappa College, Eramallikkara, Chengannur, Kerala, India

    S. Sreedevi

  2. School of Computer Sciences, Mahatma Gandhi University, Kottayam, Kerala, India

    Terry Jacob Mathew

  3. MACFAST, Tiruvalla, India

    Terry Jacob Mathew

Authors
  1. S. Sreedevi
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  2. Terry Jacob Mathew
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Corresponding author

Correspondence to Terry Jacob Mathew .

Editor information

Editors and Affiliations

  1. Indian Institute of Information Technology, Trivandrum, India

    Sabu M. Thampi

  2. Indian Institute of Technology Kanpur, Kanpur, India

    Rajesh M. Hegde

  3. Ryerson University, Toronto, ON, Canada

    Sri Krishnan

  4. Indian Institute of Technology Kharagpur, Kharagpur, India

    Jayanta Mukhopadhyay

  5. State University of New York at Buffalo, Buffalo, NY, USA

    Vipin Chaudhary

  6. Florida Atlantic University, Boca Raton, FL, USA

    Oge Marques

  7. University of Florida, Gainesville, FL, USA

    Selwyn Piramuthu

  8. University of Salamanca, Salamanca, Spain

    Juan M. Corchado

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Sreedevi, S., Mathew, T.J. (2020). A Modified Approach for the Removal of Impulse Noise from Mammogram Images. In: Thampi, S., et al. Advances in Signal Processing and Intelligent Recognition Systems. SIRS 2019. Communications in Computer and Information Science, vol 1209. Springer, Singapore. https://doi.org/10.1007/978-981-15-4828-4_24

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  • DOI: https://doi.org/10.1007/978-981-15-4828-4_24

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-4827-7

  • Online ISBN: 978-981-15-4828-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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