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Pixel Coverage Segm...
Pixel Coverage Segmentation for Improved Feature Estimation
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- Sladoje, Natasa (författare)
- Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys,Faculty of Engineering, University of Novi Sad, Serbia
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- Lindblad, Joakim (författare)
- Swedish University of Agricultural Sciences,Sveriges lantbruksuniversitet,Uppsala universitet,Centrum för bildanalys,Datoriserad bildanalys,,Centre for Image Analysis
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(creator_code:org_t)
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- ISBN 9783642041457
- Berlin / Heidelberg : Springer, 2009
- 2009
- Engelska.
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Ingår i: 15th International Conference on Image Analysis and Processing. - Berlin / Heidelberg : Springer. - 9783642041457 ; 5716, s. 929-938
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Innehållsförteckning
Abstract
Ämnesord
Stäng
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- By utilizing intensity information available in images, partial coverage of pixels at object borders can be estimated. Such information can, in turn, provide more precise feature estimates. We present a pixel coverage segmentation method which assigns pixel values corresponding to the area of a pixel that is covered by the imaged object(s). Starting from any suitable crisp segmentation, we extract a one-pixel thin 4-connected boundary between the observed image components where a local linear mixture model is used for estimating fractional pixel coverage values. We evaluate the presented segmentation method, as well as its usefulness for subsequent precise feature estimation, on synthetic test objects with increasing levels of noise added. We conclude that for reasonable noise levels the presented method outperforms the achievable results of a perfect crisp segmentation. Finally, we illustrate the application of the suggested method on a real histological colour image.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Nyckelord
- Image analysis
- Bildanalys
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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