author = "Giraldi, Gilson A. and Strauss, Edilberto and Oliveira, Antonio A.
title = "A boundary extraction approach based on multi-resolution methods
and the T-Snakes framework",
year = "2000",
editor = "Carvalho, Paulo Cezar Pinto and Walter, Marcelo",
pages = "82--89",
organization = "Brazilian Symposium on Computer Graphics and Image Processing, 13.
publisher = "IEEE Computer Society",
address = "Los Alamitos",
note = "The conference was held in Gramado, RS, Brazil, from October 17 to
keywords = "edge detection, boundary extraction approach, multi-resolution
methods, T-Snakes framework, image segmentation, image domain
triangulation, image sampling, low image resolution, image
thresholding, polygonal curves, 2D medical imaging, experimental
abstract = "We present a new approach which integrates the T-Snakes model and
a multi-resolution method in a unified framework for segmentation
and boundary extraction. In a first stage, a local scale property
of the objects is used to define a triangulation of the image
domain and a sampling (coarsest resolution) of the image field.
The low resolution image is thresholded to get a 0-1 field which
is processed by a simple continuation method to generate polygonal
curves whose interior contain the desired objects. If the
polygonal curve involves more than one object, then the resolution
is increased in that region and the method will be applied again.
This stage gives a rough approximation of the desired boundaries
which will be improved by the T-Snakes to get the final result. We
demonstrate the method for 2D medical imaging in the experimental
results and indicate how it can be extended to 3D in future
conference-location = "Gramado, RS, Brazil",
conference-year = "October",
organisation = "SBC - Brazilian Computer Society",
targetfile = "82-89.pdf",
urlaccessdate = "2020, Nov. 26"