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Analysis of Image Segmentation Techniques on Morphological and Clustering

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Intelligent Computing, Networking, and Informatics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 243))

Abstract

Image segmentation is one of the important processing steps in image, video, and computer vision applications. Research has been done for finding many different approaches and algorithms for image segmentation, but it is still difficult to assess whether one algorithm produces more accurate segmentations than another. And also, there is no general image segmentation algorithm that works for all images. In this paper, we reviewed different morphological and clustering techniques for image segmentation. Extensive evaluation methods of these techniques are presented. The advantages and disadvantages of these techniques are also analyzed and discussed in this paper.

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Acknowledgments

This work is funded by Department of science and technology, New Delhi, India.

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Authors and Affiliations

  1. SCSE, VIT University, Chennai Campus, Chennai, India

    M. Sivagami & T. Revathi

Authors
  1. M. Sivagami
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  2. T. Revathi
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Corresponding author

Correspondence to M. Sivagami .

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Editors and Affiliations

  1. Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela, Orissa, India

    Durga Prasad Mohapatra

  2. Computer Science and Engineering, SOA University, Bhubaneswar, India

    Srikanta Patnaik

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Sivagami, M., Revathi, T. (2014). Analysis of Image Segmentation Techniques on Morphological and Clustering. In: Mohapatra, D.P., Patnaik, S. (eds) Intelligent Computing, Networking, and Informatics. Advances in Intelligent Systems and Computing, vol 243. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1665-0_89

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  • DOI: https://doi.org/10.1007/978-81-322-1665-0_89

  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1664-3

  • Online ISBN: 978-81-322-1665-0

  • eBook Packages: EngineeringEngineering (R0)

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