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A variational method for the recovery of smooth boundaries

Academic Article
Publication Date:
1997
abstract:
Variational methods for image segmentation try to recover a piecewise smooth function together with a discontinuity set which represents the boundaries of the segmentation. This paper deals with a variational method that constrains the formation of discontinuities along smooth contours. The functional to be minimized, which involves the computation of the geometrical properties of the boundaries, is approximated by a sequence of functionals which can be discretized in a straightforward way. Computer examples of real images are presented to illustrate the feasibility of the method.
Iris type:
01.01 Articolo in rivista
Keywords:
Active contour models; Discontinuity detection; Image segmentation
List of contributors:
March, Riccardo
Handle:
https://iris.cnr.it/handle/20.500.14243/9126
Published in:
IMAGE AND VISION COMPUTING
Journal
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