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Segmentation Techniques Using Soft Computing Approach

In: New Trends in Computational Vision and Bio-inspired Computing

Author

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  • Sudha Tiwari

    (CVRU, Department of CSE)

  • S. M. Ghosh

    (CVRU, Department of CSE)

Abstract

In this paper propose the method of image segmentation technique and introducing the classification of segmentation algorithms. We want to implement the part of execution time for this working with symmetric parallel computing using soft computing approach. Computation time is another factor of image restoration process. Restoration of image of body parts is risk in medical science. We want to reduce the execution time of segmentation techniques run with symmetric parallel computing using soft computing approach; using unsupervised segmentation techniques namely image segmentation through K-means, C-Means clustering algorithms and segmentation using histogram technique.

Suggested Citation

  • Sudha Tiwari & S. M. Ghosh, 2020. "Segmentation Techniques Using Soft Computing Approach," Springer Books, in: S. Smys & Abdullah M. Iliyasu & Robert Bestak & Fuqian Shi (ed.), New Trends in Computational Vision and Bio-inspired Computing, pages 1371-1381, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-41862-5_141
    DOI: 10.1007/978-3-030-41862-5_141
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