@InProceedings{MansillaCappMira:2013:ImSeIm,
author = "Mansilla, Lucy A. C. and Cappabianco, F{\'a}bio A. M. and
Miranda, Paulo Andr{\'e} Vechiatto de",
affiliation = "Department of Computer Science, University of S{\~a}o Paulo (USP)
and Instituto de Ci{\^e}ncia e Tecnologia, Universidade Federal
de S{\~a}o Paulo and Department of Computer Science, University
of S{\~a}o Paulo (USP)",
title = "Image Segmentation by Image Foresting Transform with Non-smooth
Connectivity Functions",
booktitle = "Proceedings...",
year = "2013",
editor = "Boyer, Kim and Hirata, Nina and Nedel, Luciana and Silva,
Claudio",
organization = "Conference on Graphics, Patterns and Images, 26. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "graph search algorithms, image foresting transform, non-smooth
connectivity functions.",
abstract = "In the framework of the Image Foresting Transform (IFT), there is
a class of connectivity functions that were vaguely explored,
which corresponds to the non-smooth connectivity functions (NSCF).
These functions are more adaptive to cope with the problems of
field inhomogeneity, which are common in MR images of 3 Tesla. In
this work, we investigate the NSCF from the standpoint of
theoretical and experimental aspects. We formally classify several
non-smooth functions according to a proposed diagram
representation. Then, we investigate some theoretical properties
for some specific regions of the diagram. Our analysis reveals
that many NSCFs are, in fact, the result of a sequence of
optimizations, each of them involving a maximal set of elements,
in a well-structured way. Our experimental results indicate that
substantial improvements can be obtained by NSCFs in the 3D
segmentation of MR images of 3 Tesla, when compared to smooth
connectivity functions.",
conference-location = "Arequipa, Peru",
conference-year = "5-8 Aug. 2013",
doi = "10.1109/SIBGRAPI.2013.29",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2013.29",
language = "en",
ibi = "8JMKD3MGPBW34M/3EEQBAE",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3EEQBAE",
targetfile = "114732_new.pdf",
urlaccessdate = "2024, Apr. 28"
}