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Object Segmentation under Varying Illumination Effects

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New Trends in Intelligent Information and Database Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 598))

Abstract

Image segmentation is one of the medium levels of image processing. In this paper, illumination is the issue of segmenting various objects. This work proposed and evaluated two methods for image segmentation. First, we proposed region growing based method to find region that represented object of interest. Second, we proposed edge suppressing based method by the use of analyzing tensor. The experiment demonstrated that region growing method has limitation in image segmentation for object color variation. The system shows effectiveness of the method by implementing edge suppressing method in three different objects as foreground object, and four different objects as background object. Using edge suppressing, this system performed successfully under different illumination intensities.

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Author information

Authors and Affiliations

  1. Computer Engineering Department, Bina Nusantara University, Jakarta, Indonesia

    Dini Pratiwi & Iman H. Kartowisastro

Authors
  1. Dini Pratiwi
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  2. Iman H. Kartowisastro
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Corresponding author

Correspondence to Dini Pratiwi .

Editor information

Editors and Affiliations

  1. Department of Information Systems, Gdynia Maritime University, Gdynia, Poland

    Dariusz Barbucha

  2. Department of Information Systems, Faculty of Computer Science and Management, Wrocław University of Technology, Wrocław, Poland

    Ngoc Thanh Nguyen

  3. Graduate Program in Information Technology, Bina Nusantara University, Jakarta, Indonesia

    John Batubara

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© 2015 Springer International Publishing Switzerland

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Pratiwi, D., Kartowisastro, I.H. (2015). Object Segmentation under Varying Illumination Effects. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_2

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  • DOI: https://doi.org/10.1007/978-3-319-16211-9_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-16210-2

  • Online ISBN: 978-3-319-16211-9

  • eBook Packages: EngineeringEngineering (R0)

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