@InProceedings{MansillaMira:2015:ImSeIm,
author = "Mansilla, Lucy Alsina Choque and Miranda, Paulo Andr{\'e}
Vechiatto de",
title = "Image Segmentation by Image Foresting Transform with Non-smooth
Connectivity Functions",
booktitle = "Proceedings...",
year = "2015",
editor = "Segundo, Maur{\'{\i}}cio Pamplona and Faria, Fabio Augusto",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "Sociedade Brasileira de Computa{\c{c}}{\~a}o",
address = "Porto Alegre",
keywords = "cut, image foresting transform, oriented image foresting
transform, non-smooth connectivity function, geodesic star
convexity.",
abstract = "Image segmentation, such as to extract an object from a
background, is very useful for medical and biological image
analysis. In this work, we propose new methods for interactive
segmentation of multidimensional images, based on the Image
Foresting Transform (IFT), by exploiting for the first time
non-smooth connectivity functions (NSCF) with a strong theoretical
background. The new algorithms provide global optimum solutions
according to an energy function of graph cut, subject to
high-level boundary constraints (polarity and shape), or consist
in a sequence of paths' optimization in residual graphs. Our
experimental results indicate substantial improvements in accuracy
in relation to other state-of-the-art methods, by allowing the
customization of the segmentation to a given target object.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
language = "en",
ibi = "8JMKD3MGPBW34M/3JUJR2L",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JUJR2L",
targetfile = "
WTD_SIBGRAPI2015_Image_Segmentation_by_IFT_with_NSCF_camera-ready.pdf",
urlaccessdate = "2024, Apr. 27"
}