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.