| Record |
| Author |
Sergio Vera; Debora Gil; Agnes Borras; Marius George Linguraru; Miguel Angel Gonzalez Ballester |
| Title |
Geometric Steerable Medial Maps |
Type |
Journal Article |
| Year |
2013 |
Publication |
Machine Vision and Applications |
Abbreviated Journal |
MVA |
| Volume |
24 |
Issue |
6 |
Pages |
1255-1266 |
| Keywords |
Medial Representations ,Medial Manifolds Comparation , Surface , Reconstruction |
| Abstract |
In order to provide more intuitive and easily interpretable representations of complex shapes/organs, medial manifolds should reach a compromise between simplicity in geometry and capability for restoring the anatomy/shape of the organ/volume. Existing morphological methods show excellent results when applied to 2D objects, but their quality drops across dimensions.
This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoids degenerated medial axis segments. Second, we introduce a continuous operator for accurate and efficient computation of medial structures of arbitrary dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to syn- thetic shapes of known medial geometry. We also show its higher performance for medical imaging applications in terms of simplicity of medial structures and capability for reconstructing the anatomical volume. |
| Address |
|
| Corporate Author |
|
Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
|
Editor |
Mubarak Shah |
| Language |
|
Summary Language |
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Original Title |
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| Series Editor |
|
Series Title |
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Abbreviated Series Title |
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| Series Volume |
|
Series Issue |
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Edition |
|
| ISSN |
0932-8092 |
ISBN |
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Medium |
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| Area |
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Expedition |
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Conference |
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Notes  |
IAM; 605.203; 600.060; 600.044 |
Approved |
no |
| Call Number |
IAM @ iam @ VGB2013 |
Serial |
2192 |
| Permanent link to this record |
