Curve closing by gradient weighted distance transformation applied in automated cervical cancer screening

• 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.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

Curve closing

gradient weighted

cervical cancer screening

Image analysis

Bildanalys

Computerized Image Analysis

datoriserad bildanalys

Publication and Content Type

vet (subject category)

kon (subject category)