TY - CHAP
AU - Malgouyres, Rémy
AU - Brunet, Florent
AU - Fourey, Sébastien
A2 - Coeurjolly, David
A2 - Sivignon, Isabelle
A2 - Tougne, Laure
A2 - Dupont, Florent
T1 - Binomial Convolutions and Derivatives Estimation from Noisy Discretizations
T2 - Discrete Geometry for Computer Imagery
PB - Springer Berlin / Heidelberg
Y1 - 2008
VL - 4992
SP - 370
EP - 379
UR - http://dx.doi.org/10.1007/978-3-540-79126-3_33
N2 - We present a new method to estimate derivatives of digitized functions. Even with noisy data, this approach is convergent and can be computed by using only the arithmetic operations. Moreover, higher order derivatives can also be estimated. To deal with parametrized curves, we introduce a new notion which solves the problem of correspondence between the parametrization of a continuous curve and the pixels numbering of a discrete object.
ER -