Brun, Anders
- Centre for Image Analysis, Swedish University of Agricultural Sciences
Conference paper2009Peer reviewed
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
Lecture Notes in Computer Science
2009, pages: 337-346 Title: Lecture Notes in Computer Science
ISBN: 978-3-642-10330-8
5th International Symposium on Visual Computing, ISVC
DOI: https://doi.org/10.1007/978-3-642-10331-5_32
https://res.slu.se/id/publ/27423