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Conference paper - Peer-reviewed, 2009

Closing Curves with Riemannian Dilation: Application to Segmentation in Automated Cervical Cancer Screening

Malm Patrik, Brun Anders


In this paper, we describe a nuclei segmentation algorithm for Pap smears that uses anisotropic dilation for curve closing. Edge detection methods often return broken edges that need to be closed to achieve a proper segmentation. Our method performs dilation using Riemannian distance maps that are derived from the local structure tensor field in the image. We show that our curve closing improve the segmentation along weak edges and significantly increases the overall performance of segmentation. This is validated in a thorough study on realistic synthetic cell images from our Pap smear simulator. The algorithm is also demonstrated on bright-field microscope images of real Pap smears from cervical cancer screening


Pap-smears; Riemannian dilation; Curve closing; Anisotropic dilation; Cell segmentation

Published in

Lecture Notes in Computer Science
2009, pages: 337-346
Book title: Lecture Notes in Computer Science
ISBN: 978-3-642-10330-8


5th International Symposium on Visual Computing, ISVC

Authors' information

Brun, Anders
Swedish University of Agricultural Sciences, Centre for Image Analysis
Malm, Patrik
Swedish University of Agricultural Sciences, Centre for Image Analysis

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