@Article{CarvalhoManWanSobCos:2015:HyCoSe,
author = "Carvalho, L. E. and Mantelli Neto, Sylvio Luiz and Wangenheim, A.
von and Sobieranski, A. C. and Coser, L.",
affiliation = "{Universidade Federal de Santa Catarina (UFSC)} and {Instituto
Nacional de Pesquisas Espaciais (INPE)} and {Universidade Federal
de Santa Catarina (UFSC)} and {Universidade Federal de Santa
Catarina (UFSC)} and {Universidade Federal de Santa Catarina
(UFSC)}",
title = "Hybrid color segmentation method using a customized nonlinear
similarity function",
journal = "International Journal of Image and Graphics",
year = "2015",
volume = "14",
number = "1/2",
pages = "145005",
keywords = "Image segmentation, color structure code, polynomial mahalanobis
distance.",
abstract = "Image segmentation is a fundamental step in several image
processing tasks. It is a process where an image is divided into
its constituent regions guided by a similarity criterion. One very
interesting image segmentation method is the color structure code
(CSC), which combines simultaneously split-and-merge and
region-growing techniques. In this paper, a segmentation approach
based on the CSC method, weighted color structure code (WCSC), is
proposed. This method is guided by a nonlinear discrimination
function, where the user-inference is captured by the Polynomial
Mahalanobis distance, prioritizing, during the merging process,
the regions with higher similarity to the user selected pattern.
TheWCSC has color distribution pattern-oriented characteristic,
showing better coherence among the segments with higher similarity
to the selected pattern. A qualitative evaluation and parametric
paired analysis were performed to compare CSC, WCSC and other
segmentation methods results, using images from Berkeley
benchmark. The results from these comparison indicate an
improvement on the segmentation result obtained by the WCSC.",
doi = "10.1142/S0219467814500053",
url = "http://dx.doi.org/10.1142/S0219467814500053",
issn = "0219-4678",
language = "en",
targetfile = "carvalho_hybrid.pdf",
urlaccessdate = "24 abr. 2024"
}