DocumentCode
3370178
Title
Metric tensor for multicomponent edge detection
Author
Rousseau, Sylvain ; Helbert, David ; Carré, Philippe ; Blanc-Talon, Jacques
Author_Institution
XLIM, Univ. of Poitiers, Futuroscope Chasseneuil, France
fYear
2010
fDate
26-29 Sept. 2010
Firstpage
1953
Lastpage
1956
Abstract
In this paper, we present the use of differential geometry for the segmentation of multispectral images, which allows us to unify several known methods including projecting onto a particular axis or a particular plan. This is done by choosing a metric tensor on the feature space computing the pullback of the metric tensor and applying standard Di Zenzo algorithm.
Keywords
edge detection; image segmentation; tensors; image segmentation; metric tensor; multicomponent edge detection; multispectral images; Artificial neural networks; Image color analysis; Image edge detection; Measurement; Noise; Tensile stress; Riemannian manifold; metric pullback; metric tensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2010 17th IEEE International Conference on
Conference_Location
Hong Kong
ISSN
1522-4880
Print_ISBN
978-1-4244-7992-4
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2010.5653763
Filename
5653763
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