Serveur d'exploration sur la recherche en informatique en Lorraine

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Extraction des pièces d'un plan d'habitation

Identifieur interne : 002654 ( Hal/Checkpoint ); précédent : 002653; suivant : 002655

Extraction des pièces d'un plan d'habitation

Auteurs : Hervé Locteau [France] ; Sébastien Macé [Espagne] ; Salvatore Tabbone [France] ; Ernest Valveny [Espagne]

Source :

RBID : Hal:inria-00493386

English descriptors

Abstract

In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.

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Hal:inria-00493386

Le document en format XML

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<div type="abstract" xml:lang="en">In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.</div>
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<abstract xml:lang="en">In this article, a method to extract the rooms of an architectural floor plan image is described. We first present a line detection algorithm to extract long lines in the image. Those lines are analyzed to identify the existing walls. From this point, room extraction can be seen as a classical segmentation task for which each region corresponds to a room. The chosen resolution strategy consists in recursively decomposing the image until getting nearly convex regions. The notion of convexity is difficult to quantify, and the selection of separation lines can also be rough. Thus, we take advantage of knowledge associated to architectural floor plans in order to obtain mainly rectangular rooms. Preliminary tests on a set of real documents show promising results.</abstract>
<abstract xml:lang="fr">Dans cet article, une méthodologie d'extraction des pièces d'une image de plan architectural est décrite. Nous présentons tout d'abord un algorithme de détection des lignes de l'image. Ces lignes sont analysées afin d'identifier les murs constituant le plan. L'extraction des pièces peut ensuite être apparentée à un problème de segmentation pour lequel chaque région correspond à une pièce. Dans ce contexte, le processus de résolution consiste à décomposer récursivement l'image jusqu'à l'obtention de régions quasi convexes. De même que la notion de convexité est difficilement quantifiable, le choix d'un découpage est également approximatif. Dès lors, nous prenons en compte des connaissances associées aux plans architecturaux, afin notamment d'obtenir un ensemble de pièces majoritairement rectangulaires. De premières expérimentations sur un corpus de documents réels illustrent la pertinence de l'approche.</abstract>
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