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Authors: André Roberto Ortoncelli and Franklin César Flores

Affiliation: UEM - State University of Maringá, Brazil

Keyword(s): Watershed from Propagated Markers, Morphological Image Segmentation, Graph Matching, Hierarchical Segmentation, Interactive Object Segmentation in Image Sequences.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Segmentation and Grouping

Abstract: Watershed from propagated markers is a generic method to interactive segmentation of objects in image sequences, given by the combination of classical watershed from markers technique to motion estimation. The mask of segmentation, given by the segmentation of the object in the previous frame, is the main parameter to compute a set of markers to segment the same objects in the current frame. This paper introduces a new version of the watershed from propagated markers. In this proposal, the set of markers and its associated model graph are constructed in function of the mask of segmentation. The input graph is constructed given by the hierarchical segmentation of the next frame. The graph matching between the model graph and the input graph provides a pre-segmentation mask that will be used to compute the initial markers to the next frame. Experiments were done to illustrate the performance of the new version and its comparison to methods found in the literature and to previous versio ns of the watershed from propagated markers. (More)

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Paper citation in several formats:
Roberto Ortoncelli, A. and César Flores, F. (2014). Watershed from Propagated Markers based on Morphological Hierarchical Segmentation and Graph Matching. In Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP; ISBN 978-989-758-003-1; ISSN 2184-4321, SciTePress, pages 320-328. DOI: 10.5220/0004689503200328

@conference{visapp14,
author={André {Roberto Ortoncelli}. and Franklin {César Flores}.},
title={Watershed from Propagated Markers based on Morphological Hierarchical Segmentation and Graph Matching},
booktitle={Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP},
year={2014},
pages={320-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004689503200328},
isbn={978-989-758-003-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Computer Vision Theory and Applications (VISIGRAPP 2014) - Volume 2: VISAPP
TI - Watershed from Propagated Markers based on Morphological Hierarchical Segmentation and Graph Matching
SN - 978-989-758-003-1
IS - 2184-4321
AU - Roberto Ortoncelli, A.
AU - César Flores, F.
PY - 2014
SP - 320
EP - 328
DO - 10.5220/0004689503200328
PB - SciTePress