A Mutual Reference Shape for Segmentation Fusion and Evaluation Article Swipe
Stéphanie Jehan‐Besson
,
Régis Clouard
,
Christophe Tilmant
,
Alain De Cesare
,
Alain Lalande
,
Jessica Lebenberg
,
Patrick Clarysse
,
Laurent Sarry
,
Frédérique Frouin
,
Mireille Garreau
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2102.08939
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2102.08939
This paper proposes the estimation of a mutual shape from a set of different segmentation results using both active contours and information theory. The mutual shape is here defined as a consensus shape estimated from a set of different segmentations of the same object. In an original manner, such a shape is defined as the minimum of a criterion that benefits from both the mutual information and the joint entropy of the input segmentations. This energy criterion is justified using similarities between information theory quantities and area measures, and presented in a continuous variational framework. In order to solve this shape optimization problem, shape derivatives are computed for each term of the criterion and interpreted as an evolution equation of an active contour. A mutual shape is then estimated together with the sensitivity and specificity of each segmentation. Some synthetic examples allow us to cast the light on the difference between the mutual shape and an average shape. The applicability of our framework has also been tested for segmentation evaluation and fusion of different types of real images (natural color images, old manuscripts, medical images).
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2102.08939
- https://arxiv.org/pdf/2102.08939
- OA Status
- green
- Cited By
- 1
- References
- 38
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3131430163
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3131430163Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.2102.08939Digital Object Identifier
- Title
-
A Mutual Reference Shape for Segmentation Fusion and EvaluationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-02-05Full publication date if available
- Authors
-
Stéphanie Jehan‐Besson, Régis Clouard, Christophe Tilmant, Alain De Cesare, Alain Lalande, Jessica Lebenberg, Patrick Clarysse, Laurent Sarry, Frédérique Frouin, Mireille GarreauList of authors in order
- Landing page
-
https://arxiv.org/abs/2102.08939Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2102.08939Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2102.08939Direct OA link when available
- Concepts
-
Mutual information, Segmentation, Entropy (arrow of time), Artificial intelligence, Pattern recognition (psychology), Mathematics, Computer science, Shape analysis (program analysis), Energy functional, Computer vision, Mathematical analysis, Physics, Quantum mechanics, Static analysis, Programming languageTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
1Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 1Per-year citation counts (last 5 years)
- References (count)
-
38Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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