@InProceedings{CuadrosBoteRodrBati:2012:SeLaIm,
author = "Cuadros, Oscar and Botelho, Glenda Michele and Rodrigues,
Francisco and Batista Neto, Jo{\~a}o do Esp{\'{\i}}rito Santo",
affiliation = "{Universidade de S{\~a}o Paulo } and {Universidade de S{\~a}o
Paulo } and {Universidade de S{\~a}o Paulo } and {Universidade de
S{\~a}o Paulo}",
title = "Segmentation of Large Images with Complex Networks",
booktitle = "Proceedings...",
year = "2012",
editor = "Freitas, Carla Maria Dal Sasso and Sarkar, Sudeep and Scopigno,
Roberto and Silva, Luciano",
organization = "Conference on Graphics, Patterns and Images, 25. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Image segmentation, complex networks and super pixels.",
abstract = "Image segmentation is still a challenging issue in pattern
recognition. Among the various segmentation approaches are those
based on graph partitioning, which present some drawbacks, one
being high processing times. With the recent developments on
complex networks theory, pattern recognition techniques based on
graphs have improved considerably. The identification of cluster
of vertices can be considered a process of community
identification according to complex networks theory. Since data
clustering is related with image segmentation, image segmentation
can also be approached via complex networks. However, image
segmentation based on complex networks poses a fundamental
limitation which is the excessive numbers of nodes in the network.
This paper presents a complex network approach for large image
segmentation that is both accurate and fast. To that, we
incorporate the concept of super pixels, to reduce the number of
nodes in the network. We evaluate our method for both synthetic
and real images. Results show that our method can outperform other
graph-based methods both in accuracy and processing times.",
conference-location = "Ouro Preto, MG, Brazil",
conference-year = "22-25 Aug. 2012",
doi = "10.1109/SIBGRAPI.2012.13",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2012.13",
language = "en",
ibi = "8JMKD3MGPBW34M/3C9TSSH",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3C9TSSH",
targetfile = "Paper.pdf",
urlaccessdate = "2024, May 05"
}