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Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization

Author

Listed:
  • Enkhbolor Adiya

    (Inje University, Gimhae, South Korea)

  • Bouasone Vongphachah

    (Inje University, Gimhae, South Korea)

  • Alaaddin Al-Shidaifat

    (Inje University, Gimhae, South Korea)

  • Enkhbat Rentsen

    (National University of Mongolia, Ulan Bator, Mongolia)

  • Heung-Kook Choi

    (Inje University, Gimhae, South Korea)

Abstract

Utilization of automatic cell segmentation process is difficult to identify in a cell due to halo and shade-off distortions when observing the phase contrast microscopy images. Therefore, it is an important step to restore artifact-free images made ready for segmentation process. The main focus of this paper is to define a gradient projection algorithm to restore images based on the minimization problem of quadratic objective function with non-negative constraints. The proposed algorithm converges to a global minimum solution independent on initialization. The experimental result shows that the proposed algorithm can restore artifact-free images, which could produce high quality segmentation results using a simple thresholding method.

Suggested Citation

  • Enkhbolor Adiya & Bouasone Vongphachah & Alaaddin Al-Shidaifat & Enkhbat Rentsen & Heung-Kook Choi, 2015. "Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization," International Journal of E-Health and Medical Communications (IJEHMC), IGI Global, vol. 6(1), pages 36-47, January.
    • Handle: RePEc:igg:jehmc0:v:6:y:2015:i:1:p:36-47
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