Cell Segmentation Via Spectral Analysis on Phase Retardation Features
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.
H. Su et al., "Cell Segmentation Via Spectral Analysis on Phase Retardation Features," Proceedings of the International Symposium on Biomedical Imaging (2013, San Francisco, CA), pp. 1477 - 1483, Institute of Electrical and Electronics Engineers (IEEE), Apr 2013.
The definitive version is available at https://doi.org/10.1109/ISBI.2013.6556814
International Symposium on Biomedical Imaging (2013: Apr. 7-11, San Francisco, CA)
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)
International Standard Serial Number (ISSN)
Article - Conference proceedings
© 2013 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
01 Apr 2013