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Enhancement of Infrared Images Using Triangular Fuzzy Membership Function and Truncated Interval Thresholding

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Global Trends in Information Systems and Software Applications (ObCom 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 270))

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Abstract

Image Enhancement is a preliminary step in basic image processing routines in general and is a crucial step in infrared (IR) images in specific. In most of the IR images, the target and the background fall into almost similar intensity levels. In order to increase the contrast of the target from its background, the preprocessing step is mandatory. In this paper, we proposed a fuzzy based approach for enhancing the infrared images so that the target can be detected in normal and cluttered images. The proposed method is robust and the experimental results show the efficacy of the proposed method.

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Author information

Authors and Affiliations

  1. School of Computing Science and Engineering, VIT University, Vellore, 632014, Tamilnadu, India

    S. Arun Bharathi, S. Logesh & P. V. S. S. R. Chandra Mouli

Authors
  1. S. Arun Bharathi
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  2. S. Logesh
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  3. P. V. S. S. R. Chandra Mouli
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Editor information

Editors and Affiliations

  1. School of Computing Science and Engineering, VIT University, 632014, Vellore, TN, India

    P. Venkata Krishna

  2. School of Computing and Engineering, VIT University, 632014, Vellore, TN, India

    M. Rajasekhara Babu

  3. London Metropolitan University, UK

    Ezendu Ariwa

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© 2012 Springer-Verlag Berlin Heidelberg

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Arun Bharathi, S., Logesh, S., Chandra Mouli, P.V.S.S.R. (2012). Enhancement of Infrared Images Using Triangular Fuzzy Membership Function and Truncated Interval Thresholding. In: Krishna, P.V., Babu, M.R., Ariwa, E. (eds) Global Trends in Information Systems and Software Applications. ObCom 2011. Communications in Computer and Information Science, vol 270. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29216-3_72

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  • DOI: https://doi.org/10.1007/978-3-642-29216-3_72

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29215-6

  • Online ISBN: 978-3-642-29216-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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