@InProceedings{AlexandreChowFalcMira:2015:GeFrSu,
author = "Alexandre, Eduardo Barreto and Chowdhury, Ananda Shankar and
Falc{\~a}o, Alexandre Xavier and Miranda, Paulo Andr{\'e}
Vechiatto de",
affiliation = "Institute of Mathematics and Statistics (IME), Dept. of Computer
Science, University of S{\~a}o Paulo (USP) and Dept. of
Electronics and Telecommunication Engineering, Jadavpur
University, Kolkata, India and Institute of Computing, Dept. of
Information Systems, University of Campinas and Institute of
Mathematics and Statistics (IME), Dept. of Computer Science,
University of S{\~a}o Paulo (USP)",
title = "IFT-SLIC: A general framework for superpixel generation based on
simple linear iterative clustering and image foresting transform",
booktitle = "Proceedings...",
year = "2015",
editor = "Papa, Jo{\~a}o Paulo and Sander, Pedro Vieira and Marroquim,
Ricardo Guerra and Farrell, Ryan",
organization = "Conference on Graphics, Patterns and Images, 28. (SIBGRAPI)",
publisher = "IEEE Computer Society",
address = "Los Alamitos",
keywords = "Simple Linear Iterative Clustering, Image Foresting Transform,
Superpixel, unsupervised segmentation.",
abstract = "Image representation based on superpixels has become indispensable
for improving efficiency in Computer Vision systems. Object
recognition, segmentation, depth estimation, and body model
estimation are some important problems where superpixels can be
applied. However, superpixels can influence the efficacy of the
system in positive or negative manner, depending on how well they
respect the object boundaries in the image. In this paper, we
improve superpixel generation by extending a popular algorithm -
Simple Linear Iterative Clustering (SLIC) - to consider minimum
path costs between pixel and cluster centers rather than their
direct distances. This creates a new Image Foresting Transform
(IFT) operator that naturally defines superpixels as regions of
strongly connected pixels by choice of the most suitable path-cost
function for a given application. Non-smooth connectivity
functions are also explored in our IFT-SLIC approach leading to
improved performance. Experimental results indicate better
superpixel extraction using the proposed approach as compared to
that of SLIC.",
conference-location = "Salvador, BA, Brazil",
conference-year = "26-29 Aug. 2015",
doi = "10.1109/SIBGRAPI.2015.20",
url = "http://dx.doi.org/10.1109/SIBGRAPI.2015.20",
language = "en",
ibi = "8JMKD3MGPBW34M/3JLG56S",
url = "http://urlib.net/ibi/8JMKD3MGPBW34M/3JLG56S",
targetfile = "00078.pdf",
urlaccessdate = "2024, May 05"
}