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Citation

Ryba, T. and Železný, M. : An Automatic Initialization of Interactive Segmentation Methods Using Shortest Path Basins . 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings, p. 23-28, University of Koblenz-Landau, Dietrich Paulus and Christian Fuchs and Detlev Droege, Koblenz, 2015.

Abstract

Image segmentation is one of the basic image processing task that is involved in almost every computer vision system. One of the way to classify the image segmentation methods is based on amount of interaction provided by a user. The interactive methods benefit from the interaction which provides valuable information about a segmentation problem. The automatic methods does not incorporate such an interaction and that makes them less precise in most applications. On the other hand, a sophisticated preprocessing can compete with user initialization. In this paper an alternative to user initialization is presented. This method is based on shortest path basins.

Detail of publication

Title: An Automatic Initialization of Interactive Segmentation Methods Using Shortest Path Basins
Author: Ryba, T. ; Železný, M.
Language: English
Date of publication: 20 May 2015
Year: 2015
Type of publication: Papers in proceedings of reviewed conferences
Book title: 9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings
Page: 23 - 28
Editor: Dietrich Paulus and Christian Fuchs and Detlev Droege
Publisher: University of Koblenz-Landau
Address: Koblenz
Date: 1 Dec 2014 - 5 Dec 2014
/ 2015-12-21 10:12:37 /

Keywords

image segmentation, seed points, shortest path, probabilistic rand index

BibTeX

@INPROCEEDINGS{RybaT_2015_AnAutomatic,
 author = {Ryba, T. and \v{Z}elezn\'{y}, M.},
 title = {An Automatic Initialization of Interactive Segmentation Methods Using Shortest Path Basins},
 year = {2015},
 publisher = {University of Koblenz-Landau},
 address = {Koblenz},
 pages = {23-28},
 editor = {Dietrich Paulus and Christian Fuchs and Detlev Droege},
 booktitle = {9th Open German-Russian Workshop on Pattern Recognition and Image Understanding, Proceedings},
 url = {http://www.kky.zcu.cz/en/publications/RybaT_2015_AnAutomatic},
}