Closing Curves with Riemannian Dilation: Application to Segmentation in Automated Cervical Cancer Screening
2009 (English)In: Advances in Visual Computing / [ed] George Bebis et al., Berlin / Heidelberg: Springer , 2009, 337-346 p.Conference paper (Refereed)
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.
Place, publisher, year, edition, pages
Berlin / Heidelberg: Springer , 2009. 337-346 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 5875
Pap-smears, Riemannian dilation, Curve closing, Anisotropic dilation, Cell segmentation
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-111501DOI: 10.1007/978-3-642-10331-5_32ISBN: 978-3-642-10330-8OAI: oai:DiVA.org:uu-111501DiVA: diva2:281437