Morphological Segmentation of Building Façade Images

Abstract : In this paper, we describe an automatic method for segmentation of building façade images. First, individual façades are isolated from general city block images. This step is based on accumulation of directional color gradients, assuming that façade structures are aligned. Then sky region is detected based on segmentation approach and color marker extraction. Finally, the images are split in floors using directional color gradient accumulation, as well. Our approach introduces several morphological filters to augment the robustness to problems such as: textured balconies, some specular reflections of the bright windows and small obstacles in images. The experimental results show the performance of our approach.
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16th IEEE International Conference on Image Processing (ICIP), Nov 2009, Le Caire, Egypt. IEEE, pp.4029-4032, 2009, 〈10.1109/ICIP.2009.5413756〉
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Jorge Hernandez, Beatriz Marcotegui. Morphological Segmentation of Building Façade Images. 16th IEEE International Conference on Image Processing (ICIP), Nov 2009, Le Caire, Egypt. IEEE, pp.4029-4032, 2009, 〈10.1109/ICIP.2009.5413756〉. 〈hal-00834428〉

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