DocumentCode :
2106050
Title :
Image Segmentation by Image Foresting Transform with Non-smooth Connectivity Functions
Author :
Mansilla, Lucy A. C. ; Miranda, Paulo A. V. Vechiatto ; Cappabianco, Fabio A. M.
Author_Institution :
Dept. of Comput. Sci., Univ. of Sao Paulo (USP), Sao Paulo, Brazil
fYear :
2013
fDate :
5-8 Aug. 2013
Firstpage :
147
Lastpage :
154
Abstract :
In the framework of the Image Foresting Transform (IFT), there is a class of connectivity functions that were vaguely explored, which corresponds to the non-smooth connectivity functions (NSCF). These functions are more adaptive to cope with the problems of field in homogeneity, which are common in MR images of 3 Tesla. In this work, we investigate the NSCF from the standpoint of theoretical and experimental aspects. We formally classify several non-smooth functions according to a proposed diagram representation. Then, we investigate some theoretical properties for some specific regions of the diagram. Our analysis reveals that many NSCFs are, in fact, the result of a sequence of optimizations, each of them involving a maximal set of elements, in a well-structured way. Our experimental results indicate that substantial improvements can be obtained by NSCFs in the 3D segmentation of MR images of 3 Tesla, when compared to smooth connectivity functions.
Keywords :
biomedical MRI; image segmentation; medical image processing; optimisation; transforms; 3 Tesla; 3D segmentation; IFT; MR images; NSCF; field inhomogeneity; image foresting transform; image segmentation; nonsmooth connectivity functions; optimizations; Computer vision; Flexible printed circuits; Image segmentation; Nonhomogeneous media; Optimization; Three-dimensional displays; Transforms; graph search algorithms; image foresting transform; non-smooth connectivity functions;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Graphics, Patterns and Images (SIBGRAPI), 2013 26th SIBGRAPI - Conference on
Conference_Location :
Arequipa
ISSN :
1530-1834
Type :
conf
DOI :
10.1109/SIBGRAPI.2013.29
Filename :
6656180
Link To Document :
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