@InProceedings{CarvalhoCostFerrCesa:2010:ImSeUs,
author = "Carvalho, Marco Antonio Garcia de and Costa, Andre Luis Da and
Ferreira, Anselmo Castelo Branco and Cesar Junior, Roberto
Marcondes",
affiliation = "Faculty of Technology-FT, University Of Campinas- UNICAMP and
Faculty of Technology-FT, University Of Campinas- UNICAMP and
Faculty of Technology-FT, University Of Campinas- UNICAMP and
Department of Computer Science-IME, University Of Sao Paulo- USP",
title = "Image Segmentation Using Component Tree and Normalized Cut",
booktitle = "Proceedings...",
year = "2010",
editor = "Bellon, Olga and Esperan{\c{c}}a, Claudio",
organization = "Conference on Graphics, Patterns and Images, 23. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "image segmentation, component tree, watershed transform, graph
partitioning, spectral graph.",
abstract = "Graph partitioning, or graph cut, has been studied by several
authors as a way of image segmenting. In the last years, the
Normalized Cut has been widely used in order to implement graph
partitioning, based on the graph spectra analysis (eigenvalues and
eigenvectors). This area is known as Spectral Graph Theory. This
work uses a hierarchical structure in order to represent images,
the Component Tree. We provide image segmentation based on
Normalized Cut, with image representation based on the Component
Tree and on its scale-space analysis. Experimental results present
a comparison between other image representations, as pixel grids,
including multiscale graph decomposition formulation, and
Watershed Transform. As the results show, the proposed approach,
applied to different images, presents satisfying image
segmentation.",
conference-location = "Gramado, RS, Brazil",
conference-year = "30 Aug.-3 Sep. 2010",
doi = "10.1109/SIBGRAPI.2010.49",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2010.49",
language = "en",
ibi = "8JMKD3MGPBW34M/386F5M8",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/386F5M8",
targetfile = "sibgrapi_article_2010.pdf",
urlaccessdate = "2024, Apr. 27"
}