Représentation de la position relative d'objets 2D au moyen d'un histogramme de forces

Représentation de la position relative d'objets 2D au moyen d'un histogramme de forces

The Notion of Histogram of Forces : a New Way to Represent the Relative Position of 2D-Objects

Pascal Matsakis Laurent Wendling  Jacky Desachy 

RIT - UPS, 118 route de narbonne, 31062 Toulouse, France

CRIL Ingenierie - Groupe Coritec, 5 avenue Marcel Dassault, 31500 Toulouse

Corresponding Author Email: 
MATSAK@irit.fr
Page: 
25-38
|
Received: 
5 December 1996
| |
Accepted: 
N/A
| | Citation

OPEN ACCESS

Abstract: 

The assessment of the directional spatial relations (such as "to the right of", "to the south of" . . .) between 2D-objects relies generally on the computation of a histogram of angles, which is supposed to provide a reasonably good representation of the relative position of an object with regard to another. In this paper, we introduce the notion of histogram of forces. It generalizes and supersedes the one of histogram of angles. The objects are handled as longitudinal sections (1D-entities). It is thus possible to benefit in full by the power of integral calculus and to ensure a rapid processing of raster data as well as of vector data under explicit consideration of both angular and metric information.

Résumé

L'évaluation des relations spatiales directionnelles (telles que « à droite de », « au sud de » . . .) entre objets 2D repose généralement sur la constitution d'un histogramme d'angles . Un tel histogramme est supposé constituer une bonne représentation de la position relative d'un objet par rapport à un autre . Dans cet article, nous introduisons la notion d'histogramme de forces. Elle généralise et supplante celle d'histogramme d'angles. La manipulation des objets (entités de dimension 2) est ramenée à celle de leurs sections longitudinales (entités de dimension 1), non pas à celle de points. Il est ainsi possible de bénéficier de la puissance du calcul intégral et d'assurer un traitement incomparablement plus rapide aussi bien de données rasters que vecteurs, tout en tenant compte explicitement aussi bien de l'information angulaire que de l'information métrique.

Keywords: 

Pattern recognition, parameter extraction, spatial relationships, fuzzy subsets

Mots clés

Reconnaissance des formes, extraction de paramètres, relations spatiales, sous-ensembles flous

1. Introduction
2. Relations Spatiales Directionnelles
3. Traitement Des Sections Longitudinales
4. Histogrammes De Forces Et Relations Spatiales Directionnelles
5. Traitement De Données Rasters Et Vecteurs
6. Étude Comparative Et Résultats Expérimentaux
7. Conclusion
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