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Proceedings Paper

Cell quantification and watershed segmentation in time lapse microscopy
Author(s): R. M. Suresh; N. Jayalakshmi
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Paper Abstract

Because of the complex nature of cells, the ability to distinguish a cell from the background of an image for automatic quantification remains a challenging task. Here, we describe a new technique for cell segmentation using an extended h-maxima transformation to find possible cell locations and a watershed algorithm. A novel method that is adopted to track the cells between image sequences is also discussed in this paper. The over segmentation problem of watershed algorithm is reduced by morphologic erosion, allowing for more accurate quantification, even in low contrast images. The number of cells and the average cell size could be determined in the image. Application of this method to a difficult dataset allowed us to identify 96% of the cells in the image and showed promising results for tracking cells between consecutive images.

Paper Details

Date Published: 26 February 2010
PDF: 6 pages
Proc. SPIE 7546, Second International Conference on Digital Image Processing, 754621 (26 February 2010); doi: 10.1117/12.853427
Show Author Affiliations
R. M. Suresh, RMD Engineering College (India)
N. Jayalakshmi, Velammal College of Management and Computer Studies (India)

Published in SPIE Proceedings Vol. 7546:
Second International Conference on Digital Image Processing
Kamaruzaman Jusoff; Yi Xie, Editor(s)

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