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Recent Developments and New Directions in Soft Computing pp 195–208Cite as

Image Thresholding by Grouping Functions: Application to MRI Images

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Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 317))

Abstract

In this work we present a thresholding algorithm for greyscale images. Our proposal is the use of grouping functions to find the best threshold. These functions are able to measure the belongingness of a grey intensity to the background or to the object of the image, so the best threshold is the one associated with the highest grouping value.

This work was supported by the Research Services of the Universidad Publica de Navarra and by the National Science Foundation of Spain, references TIN2010-15055 and TIN2011-29520.

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Author information

Authors and Affiliations

  1. Departamento de Automatica y Computacion, Universidad Publica de Navarra, Pamplona, Spain

    Aranzazu Jurio, Daniel Paternain, Miguel Pagola & Humberto Bustince

Authors
  1. Aranzazu Jurio
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  2. Daniel Paternain
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  3. Miguel Pagola
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  4. Humberto Bustince
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Corresponding author

Correspondence to Aranzazu Jurio .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Minister of Communications and Information Technologies of the Republic of Azerbaijan, Baku, Azerbaijan

    Ali M. Abbasov

  3. Iona College, Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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© 2014 Springer International Publishing Switzerland

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Jurio, A., Paternain, D., Pagola, M., Bustince, H. (2014). Image Thresholding by Grouping Functions: Application to MRI Images. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-06323-2_13

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  • DOI: https://doi.org/10.1007/978-3-319-06323-2_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06322-5

  • Online ISBN: 978-3-319-06323-2

  • eBook Packages: EngineeringEngineering (R0)

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