Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization | IGI Global Scientific Publishing
Welcome to the InfoSci Platform
Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization

Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization

Enkhbolor Adiya, Bouasone Vongphachah, Alaaddin Al-Shidaifat, Enkhbat Rentsen, Heung-Kook Choi
Copyright: © 2015 |Volume: 6 |Issue: 1 |Pages: 12
ISSN: 1947-315X|EISSN: 1947-3168|EISBN13: 9781466678613|DOI: 10.4018/IJEHMC.2015010103
Cite Article Cite Article

MLA

Adiya, Enkhbolor, et al. "Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization." IJEHMC vol.6, no.1 2015: pp.36-47. https://doi.org/10.4018/IJEHMC.2015010103

APA

Adiya, E., Vongphachah, B., Al-Shidaifat, A., Rentsen, E., & Choi, H. (2015). Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization. International Journal of E-Health and Medical Communications (IJEHMC), 6(1), 36-47. https://doi.org/10.4018/IJEHMC.2015010103

Chicago

Adiya, Enkhbolor, et al. "Cell Segmentation in Phase Contrast Microscopy by Constrained Optimization," International Journal of E-Health and Medical Communications (IJEHMC) 6, no.1: 36-47. https://doi.org/10.4018/IJEHMC.2015010103

Export Reference

Mendeley
Favorite Full-Issue Download

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.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global Scientific Publishing bookstore.