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Curve closing by gr...
Curve closing by gradient weighted distance transformation applied in automated cervical cancer screening
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- Malm, Patrik, 1982- (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Datoriserad bildanalys,Centrum för bildanalys,Centre for Image Analysis
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- Brun, Anders (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Datoriserad bildanalys,Centrum för bildanalys,Centre for Image Analysis
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(creator_code:org_t)
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- 2009
- 2009
- Engelska.
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Ingår i: Proceedings SSBA 2009. - 9789163339240 ; , s. 25-28
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Curve closing
- gradient weighted
- cervical cancer screening
- Image analysis
- Bildanalys
- Computerized Image Analysis
- datoriserad bildanalys
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