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Segmentation of Facade Images using Ultimate Opening

Abstract : In recent years, automatic reconstruction, modeling and interpretation of urban environment and building structures is an area which gained interest. Urban environment's modeling allows developing different applications. This analysis extracts and reconstructs windows, doors and ornaments to provide rich information of the buildings adding real- ism for visualization. Our goal is the automation of the fac ̧ades interpretation from images; especially to detection/extraction structural objects mainly windows. We propose connected-component (CC) segmentation to detect of facade structures. The segmentation is based on a morpho- logical operator named ultimate opening.
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  • HAL Id : hal-00833741, version 1

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Jorge Hernandez, Beatriz Marcotegui. Segmentation of Facade Images using Ultimate Opening. 31ème journée ISS, 2008, France. ⟨hal-00833741⟩

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