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2 February 2012 Orthophotoplan segmentation based on region merging for roof detection
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Proceedings Volume 8300, Image Processing: Machine Vision Applications V; 83000O (2012)
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
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.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Y. El Merabet, C. Meurie, Y. Ruichek, A. Sbihi, and R. Touahni "Orthophotoplan segmentation based on region merging for roof detection", Proc. SPIE 8300, Image Processing: Machine Vision Applications V, 83000O (2 February 2012);

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