Segmentation of cell nuclei in tissue by combining seeded watersheds with gradient information

Authors:
Carolina Wählby;Ewert Bengtsson
Affiliations:
Centre for Image Analysis, Uppsala University, Uppsala, Sweden;Centre for Image Analysis, Uppsala University, Uppsala, Sweden
Venue:
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Year:
2003

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Abstract

This paper deals with the segmentation of cell nuclei in tissue. We present a region-based segmentation method where seeds representing object- and background-pixels are created by morphological filtering. The seeds are then used as a starting-point for watershed segmentation of the gradient magnitude of the original image. Over-segmented objects are thereafter merged baded on the gradient magnitude between the adjacent objects. The method was tested on a total of 726 cell nuclei in 7 images, and 95% correct segmentation was achieved.