Title

Cell Segmentation Via Spectral Analysis on Phase Retardation Features

Abstract

In this paper, the authors propose a cell segmentation algorithm via spectral analysis over phase retardation features, which are derived from the optical principle of phase contrast microscopy image formation process. Images are first partitioned into phase-homogeneous atoms by clustering neighboring pixels with similar phase retardation features. Cell segmentation is then performed by clustering the atoms into several clusters using multi-class spectral analysis. Experimental results demonstrate that our method generates quality cell segmentation results and outperforms previous methods.

Meeting Name

International Symposium on Biomedical Imaging (2013: Apr. 7-11, San Francisco, CA)

Department(s)

Computer Science

Keywords and Phrases

Cell Segmentation; Phase Retardation; Phase-Contrast Microscopy Images; Medical Imaging; Spectrum Analysis; Image Segmentation; Phase-Contrast Microscopy Image Analysis; Phase Retardation Feature; Spectral Analysis

International Standard Book Number (ISBN)

9781467364546

International Standard Serial Number (ISSN)

1945-7928

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.

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