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An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images by Zhang, Lin is a scholarly article available to read on EtoBox.

What is An Efficient Approach for Cell Segmentation in Phase Contrast Microscopy Images about?

In this paper, we propose a new model to segment cells in phase contrast microscopy images. Cell images collected from the similar scenario share a similar background. Inspired by this, we separate cells from the background in images by formulating the problem as a low-rank and structured sparse matrix decomposition problem. Then, we propose the inverse diffraction pattern filtering method to further segment individual cells in the images. This is a deconvolution process that has a much lower computational complexity when compared to the other restoration methods. Experiments demonstrate the effectiveness of the proposed model when it is compared with recent works.

Author

Zhang, Lin

Published

2019

Language

EN