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Signature of a Shap...
Signature of a Shape Based on Its Pixel Coverage Representation
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- Ilic, Vladimir (författare)
- Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia
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- Lindblad, Joakim (författare)
- Uppsala universitet,Avdelningen för visuell information och interaktion,Bildanalys och människa-datorinteraktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbi,Centre for Image Analysis
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- Sladoje, Nataša (författare)
- Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,Mathematical Institute, Serbian Academy of Sciences and Arts, Belgrade, Serbi,Centre for Image Analysis
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(creator_code:org_t)
- 2016-04-09
- 2016
- Engelska.
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Ingår i: Discrete Geometry for Computer Imagery, DGCI 2016. Lecture Notes in Computer Science, Vol. 9647, pp. 181-193, Springer 2016. - Cham : Springer Berlin/Heidelberg. ; , s. 181-193
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- Distance from the boundary of a shape to its centroid, a.k.a. signature of a shape, is a frequently used shape descriptor. Commonly, the observed shape results from a crisp (binary) segmentation of an image. The loss of information associated with binarization leads to a significant decrease in accuracy and precision of the signature, as well as its reduced invariance w.r.t. translation and rotation. Coverage information enables better estimation of edge position within a pixel. In this paper, we propose an iterative method for computing the signature of a shape utilizing its pixel coverage representation. The proposed method iteratively improves the accuracy of the computed signature, starting from a good initial estimate. A statistical study indicates considerable improvements in both accuracy and precision, compared to a crisp approach and a previously proposed approach based on averaging signatures over α-cuts of a fuzzy representation. We observe improved performance of the proposed descriptor in the presence of noise and reduced variation under translation and rotation.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)
Nyckelord
- Shape signature
- Centroid distance function
- Pixel coverage representation
- Sub-pixel accuracy
- Precision
- Computerized Image Processing
- Datoriserad bildbehandling
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)