DETECTING RECTANGULAR OBJECTS IN URBAN IMAGERY - A Re-Segmentation Approach

Thales Sehn Korting, Luciano Vieira Dutra, Leila Maria Garcia Fonseca

2009

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.

Paper Citation

in Harvard Style

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 - Volume 2: VISAPP, (VISIGRAPP 2009) ISBN 978-989-8111-69-2, pages 231-236. DOI: 10.5220/0001806702310236

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2009)},
year={2009},
pages={231-236},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001806702310236},
isbn={978-989-8111-69-2},
}

in EndNote Style

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