Literature DB >> 15382683

The image foresting transform: theory, algorithms, and applications.

Alexandre X Falcão1, Jorge Stolfi, Roberto de Alencar Lotufo.   

Abstract

The image foresting transform (IFT) is a graph-based approach to the design of image processing operators based on connectivity. It naturally leads to correct and efficient implementations and to a better understanding of how different operators relate to each other. We give here a precise definition of the IFT, and a procedure to compute it-a generalization of Dijkstra's algorithm-with a proof of correctness. We also discuss implementation issues and illustrate the use of the IFT in a few applications.

Mesh:

Year:  2004        PMID: 15382683     DOI: 10.1109/tpami.2004.1261076

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  18 in total

1.  Optimal surface segmentation in volumetric images--a graph-theoretic approach.

Authors:  Kang Li; Xiaodong Wu; Danny Z Chen; Milan Sonka
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2006-01       Impact factor: 6.226

2.  Joint graph cut and relative fuzzy connectedness image segmentation algorithm.

Authors:  Krzysztof Chris Ciesielski; Paulo A V Miranda; Alexandre X Falcão; Jayaram K Udupa
Journal:  Med Image Anal       Date:  2013-07-03       Impact factor: 8.545

3.  Seeded ND medical image segmentation by cellular automaton on GPU.

Authors:  Claude Kauffmann; Nicolas Piché
Journal:  Int J Comput Assist Radiol Surg       Date:  2009-08-01       Impact factor: 2.924

4.  GPU-based relative fuzzy connectedness image segmentation.

Authors:  Ying Zhuge; Krzysztof C Ciesielski; Jayaram K Udupa; Robert W Miller
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

5.  A trimodality comparison of volumetric bone imaging technologies. Part I: Short-term precision and validity.

Authors:  Andy K O Wong; Karen A Beattie; Kevin K H Min; Colin E Webber; Christopher L Gordon; Alexandra Papaioannou; Angela M W Cheung; Jonathan D Adachi
Journal:  J Clin Densitom       Date:  2014-08-13       Impact factor: 2.617

6.  Association of larger holes in the trabecular bone at the distal radius in postmenopausal women with type 2 diabetes mellitus compared to controls.

Authors:  Janet M Pritchard; Lora M Giangregorio; Stephanie A Atkinson; Karen A Beattie; Dean Inglis; George Ioannidis; Zubin Punthakee; J D Adachi; Alexandra Papaioannou
Journal:  Arthritis Care Res (Hoboken)       Date:  2012-01       Impact factor: 4.794

7.  A framework for comparing different image segmentation methods and its use in studying equivalences between level set and fuzzy connectedness frameworks.

Authors:  Krzysztof Chris Ciesielski; Jayaram K Udupa
Journal:  Comput Vis Image Underst       Date:  2011-06-01       Impact factor: 3.876

8.  Efficient workflow for automatic segmentation of the right heart based on 2D echocardiography.

Authors:  Viacheslav V Danilov; Igor P Skirnevskiy; Olga M Gerget; Egor E Shelomentcev; Dmitrii Yu Kolpashchikov; Nikolay V Vasilyev
Journal:  Int J Cardiovasc Imaging       Date:  2018-02-10       Impact factor: 2.357

9.  DeadEasy Mito-Glia: automatic counting of mitotic cells and glial cells in Drosophila.

Authors:  Manuel Guillermo Forero; Anabel R Learte; Stephanie Cartwright; Alicia Hidalgo
Journal:  PLoS One       Date:  2010-05-10       Impact factor: 3.240

10.  Machine Learning Algorithms for Automatic Classification of Marmoset Vocalizations.

Authors:  Hjalmar K Turesson; Sidarta Ribeiro; Danillo R Pereira; João P Papa; Victor Hugo C de Albuquerque
Journal:  PLoS One       Date:  2016-09-21       Impact factor: 3.240

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