Orthophotoplan segmentation and colorimetric invariants for roof detection

Authors:
Youssef El Merabet;Cyril Meurie;Yassine Ruichek;Abderrahmane Sbihi;Rajaa Touahni
Affiliations:
Systems and Transportation Laboratory, Université de Technologie de Belfort-Montbliard, Belfort, France and Laboratoire LASTID, Département de Physique, Université Ibn Tofail, K ...;Systems and Transportation Laboratory, Université de Technologie de Belfort-Montbliard, Belfort, France;Systems and Transportation Laboratory, Université de Technologie de Belfort-Montbliard, Belfort, France;ENSA, Université Abdelmalek Essadi, Tanger Maroc;Laboratoire LASTID, Département de Physique, Université Ibn Tofail, Kénitra, Maroc
Venue:
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Year:
2011

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Abstract

In this paper, we use a morphological segmentation method called watershed for segmenting roof of "orthophotoplan" images. This work takes place in a global approach which consists in recognizing a roof of aerial images among a knowledge database and bending out 3D models automatically generated from geographical data. The main aim of this work consists in defining the best couple of colorimetric invariant/ gradient (among 24 colorimetric invariants and 14 gradients tested) used as input of watershed algorithm in order to obtain the best segmentation of roof. The tests are made on a database of 67 roofs containing a certain heterogeneity (illumination changes, shadows, etc) and evaluated with the Vinet criteria (including a ground truth image) in order to prove the robustness of the proposed strategy.