Automatic cell segmentation in microscopic color images using ellipse fitting and watershed

Publication Type:
Conference Proceeding
2010 IEEE/ICME International Conference on Complex Medical Engineering, CME2010, 2010, pp. 69 - 74
Issue Date:
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009008154OK.pdf2.2 MB
Adobe PDF
This paper presents an efficient and innovative method for the automated counting of cells in a microscopic image. The performance of watershed-based algorithms for the segmentation of clustered cells has been well demonstrated. The strength of our algorithm lies in the fact that it incorporates knowledge of color in the image. Our method uses the watershed transform with iterative shape alignment and is shown to be more accurate in retaining cell shape. We report a sensitivity of 97% and specificity of 96% when all color bands are used. Our methods could be of value to computer-based systems designed to objectively interpret microscopic images, since they provide a means for accurate cell segmentation. © 2010 IEEE.
Please use this identifier to cite or link to this item: