Interactive Natural Image Segmentation and Foreground Extraction

  • Authors

    • Y David Solomon Raju
    • D Krishna Reddy
    2018-08-15
    https://doi.org/10.14419/ijet.v7i3.27.17657
  • Segmentation, foreground extraction, clustering, green’s polynomial function.

  • Abstract

    Interactive image segmentation is very practical and important problem in computer vision.  In this paper a regressive based Green’s function is employed to formulate the problem of segmentation. The method is incorporated with different clustering approaches intended to extract the foreground regions from the natural images. The method performance is improved with proper labeling of foreground and background regions, and with more number of cluster regions. The method is evaluated with two standard benchmark datasets and found that the experimental results were promising.

     

     

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  • How to Cite

    David Solomon Raju, Y., & Krishna Reddy, D. (2018). Interactive Natural Image Segmentation and Foreground Extraction. International Journal of Engineering & Technology, 7(3.27), 70-72. https://doi.org/10.14419/ijet.v7i3.27.17657

    Received date: 2018-08-16

    Accepted date: 2018-08-16

    Published date: 2018-08-15