Curve closing by gradient weighted distance transformation applied in automated cervical cancer screening
2009 (English)In: Proceedings SSBA 2009: Symposium on Image Analysis / [ed] Josef Bigun and Antanas Verikas, 2009, 25-28 p.Conference paper (Other academic)
In this paper, a nuclei segmentation algorithm that uses a gradient weighted distance transform for curve closing is described. Edge detection methods often return broken edges that need to be closed to achieve proper segmentation. Based n a Canny edge result, this method generates a distance map that is dependent on local gradient directions and magnitudes making it possible to promote propagation along edges rather than away from them. Through this procedure, which is a kind of adaptive morphology, it is possible to achieve curve closing even along very weak edges. The method is developed within a larger project aimed at creating a cervical cancer screening system mainly intended to allow automated screening in developing countries.
Place, publisher, year, edition, pages
2009. 25-28 p.
Curve closing, gradient weighted, cervical cancer screening
Computer Vision and Robotics (Autonomous Systems)
Research subject Computerized Image Analysis
IdentifiersURN: urn:nbn:se:uu:diva-111507ISBN: 978-91-633-3924-0OAI: oai:DiVA.org:uu-111507DiVA: diva2:281453