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Authors: Thales Sehn Korting ; Luciano Vieira Dutra and Leila Maria Garcia Fonseca

Affiliation: National Institute for Space Research (INPE), Brazil

Keyword(s): Re-Segmentation, Graph-Based Segmentation, Remote Sensing, Urban Imagery.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computer Vision, Visualization and Computer Graphics ; Data Mining ; Databases and Information Systems Integration ; Enterprise Information Systems ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Sensor Networks ; Signal Processing ; Signal Processing, Sensors, Systems Modeling and Control ; Soft Computing

Abstract: Image segmentation is a broad area, which covers strategies for splitting one input image into its components. This paper aims to present a re-segmentation approach applied to urban imagery, where the interest elements (houses roofs) are considered to have a rectangular shape. Our technique finds and generates rectangular objects, leaving the remaining objects as background. With an over-segmented image we connect adjacent objects in a graph structure, known as Region Adjacency Graph - RAG. We then go into the graph, searching for best cuts that may result in segments more rectangular, in a relaxation-like approach. Graph search considers information about object class, through a pre-classification stage using Self-Organizing Maps algorithm. Results show that the method was able to find rectangular elements, according user-defined parameters, such as maximum levels of graph searching and minimum degree of rectangularity for interest objects.

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Paper citation in several formats:
Sehn Korting, T.; Vieira Dutra, L. and Garcia Fonseca, L. (2009). DETECTING RECTANGULAR OBJECTS IN URBAN IMAGERY - A Re-Segmentation Approach. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 231-236. DOI: 10.5220/0001806702310236

@conference{visapp09,
author={Thales {Sehn Korting}. and Luciano {Vieira Dutra}. and Leila Maria {Garcia Fonseca}.},
title={DETECTING RECTANGULAR OBJECTS IN URBAN IMAGERY - A Re-Segmentation Approach},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={231-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001806702310236},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - DETECTING RECTANGULAR OBJECTS IN URBAN IMAGERY - A Re-Segmentation Approach
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Sehn Korting, T.
AU - Vieira Dutra, L.
AU - Garcia Fonseca, L.
PY - 2009
SP - 231
EP - 236
DO - 10.5220/0001806702310236
PB - SciTePress