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Proceedings Paper

Orthophotoplan segmentation based on region merging for roof detection
Author(s): Y. El Merabet; C. Meurie; Y. Ruichek; A. Sbihi; R. Touahni
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Paper Abstract

In this paper, we propose an orthophotoplan segmentation method based on watershed algorithm combined with an efficient region merging strategy for roof detection. The preliminary segmentation is obtained by the watershed algorithm with an optimal couple of colorimetric invariant/color gradient optimized for the application. The use of the appropriate couple of invariant/gradient permits to limit illumination changes (shadows, brightness, etc) affecting the images. Even if the watershed based results are good, the images are over-segmented. That is why, a region merging procedure is proposed. This procedure uses a merging criteria based on 2D modeling of roof ridges and region features adapted to the orthophotoplan particularities. The proposed strategy is evaluated on 100 real roof images with a ground truth image segmentation in order to demonstrate the effectiveness and the reliability of the proposed approach.

Paper Details

Date Published: 2 February 2012
PDF: 11 pages
Proc. SPIE 8300, Image Processing: Machine Vision Applications V, 83000O (2 February 2012); doi: 10.1117/12.908881
Show Author Affiliations
Y. El Merabet, Univ. de Technologie de Belfort-Montbéliard (France)
Univ. Ibn Tofail (Morocco)
C. Meurie, Univ. de Technologie de Belfort-Montbéliard (France)
Y. Ruichek, Univ. de Technologie de Belfort-Montbéliard (France)
A. Sbihi, Univ. Abdelmalek Essadi (Morocco)
R. Touahni, Univ. Ibn Tofail (Morocco)

Published in SPIE Proceedings Vol. 8300:
Image Processing: Machine Vision Applications V
Philip R. Bingham; Edmund Y. Lam, Editor(s)

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