Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization

Enkhbolor Adiya, Bouasone Vongphachah, Alaaddin Al-Shidaifat, Enkhbat Rentsen and Heung-Kook Choi
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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

International Journal of E-Health and Medical Communications (IJEHMC), 2015, vol. 6, issue 1, 36-47

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.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jehmc0:v:6:y:2015:i:1:p:36-47

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