Sine cosine optimization based multilevel segmentation of digital images

  • Authors

    • S Rakoth Kandan JAYAMUKHI INSTITUTE OF TECHNOLOGICAL SCIENCES
    • P Srinivas Rao JAYAMUKHI INSTITUTE OF TECHNOLOGICAL SCIENCES
    • B Durgalakshmi VIT UNIVERSITY
    2018-06-23
    https://doi.org/10.14419/ijet.v7i3.11774
  • Image Processing, Multilevel Segmentation, Optimization.

  • Abstract

    This main objective of this paper is to present a sine-cosine optimization algorithm for multilevel segmentation of real-time and medical images. It chooses the threshold values for all R, G, B channels of real life and medical images through effectively exploring the solution space in obtaining the global best solution. The results are compared with existing methods and finally, the proposed method is able to offer better segmentation results than that of an existing method.

     

     

  • References

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  • How to Cite

    Rakoth Kandan, S., Srinivas Rao, P., & Durgalakshmi, B. (2018). Sine cosine optimization based multilevel segmentation of digital images. International Journal of Engineering & Technology, 7(3), 1157-1160. https://doi.org/10.14419/ijet.v7i3.11774

    Received date: 2018-04-20

    Accepted date: 2018-05-11

    Published date: 2018-06-23