@inbook{f9fb5eb316df4d248ad490168da84102,
title = "Nonlinear scale space from n-dimensional sieves",
abstract = "The one-dimensional image analysis method know as the sieve[1] is extended to any finite dimensional image. It preserves all the usual scale-space properties but has some additional features that, we believe, make it more attractive than the diffusion-based methods. We present some simple examples of how it might be used.",
author = "Bangham, {J. Andrew} and Richard Harvey and Ling, {Paul D.} and Aldridge, {Richard V.}",
year = "1996",
doi = "10.1007/BFb0015535",
language = "English",
isbn = "3-540-61122-3",
volume = "1064",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "189--198",
editor = "Bernard Buxton and Roberto Cippola",
booktitle = "4th European Conference on Computer Vision (ECCV '96)",
address = "Germany",
note = "European Conference on Computer Vision, EECV-96 ; Conference date: 01-01-1996",
}