Wavelets and Statistics - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Book Sections Year : 1995

Wavelets and Statistics

Abstract

Energy models, like the Mumford and Shah model, have been introduced for segmenting images. The boundary, defined as the minimum of the energy, is projected onto a wavelet basis. We assume a white noise model on the observed image. The aim of this paper is to study the asymptotic behavior of non-parametric estimators of the boundary when the number of pixels grows to infinity.
No file

Dates and versions

hal-02847991 , version 1 (07-06-2020)

Identifiers

  • HAL Id : hal-02847991 , version 1
  • PRODINRA : 136081

Cite

J. Istas. Wavelets and Statistics. Nonparametric supervised image segmentation by energy minimization using wavelet, Springer-Verlag, 1995. ⟨hal-02847991⟩

Collections

INRA INRAE MATHNUM
1 View
0 Download

Share

Gmail Facebook X LinkedIn More