Abstract

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

Keywords

Curve closing; gradient weighted; cervical cancer screening

Published in

Publisher: EIS, Halmstad University

Conference

SSBA 2009: Symposium on Image Analysis

SLU Authors

• Brun, Anders

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

• Malm, Patrik

  • Centre for Image Analysis, Swedish University of Agricultural Sciences
    

Permanent link to this page (URI)

https://res.slu.se/id/publ/27425