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A framework for constrained multiscale range image segmentation / Franck Taillandier (2003)  

Public Titre : A framework for constrained multiscale range image segmentation Type de document : Article/Communication Auteurs : Franck Taillandier , Auteur ; Laurent Guigues , Auteur ; Rachid Deriche, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2003 Conférence : ICIP 2003, 10th IEEE International Conference on Image Processing 14/09/2003 18/09/2003 Barcelone Espagne Proceedings IEEE Importance : pp 443 - 446 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image optique [Termes IGN] segmentation d'image Résumé : (auteur) In this paper, we present a general framework for multiscale segmentation of range images in planar facets. We propose a formulation of the problem as the minimization of a multiscale separable energy, which involves two terms: a goodness-of-fit term and a regularization term, the scale parameter being the relative weight between the two terms. We then recall a general parameter-free method to build a hierarchy of regions in which segmentation is expressed as a cut. Afterwards, we explicit the energy derived for a simple-shaped planar facet model and based on a formulation that confronts the complexity of the model and the goodness of fit of the data. We then extend this model to integrate gradients information from images, which leads us to a formulation of a simple-shaped planar and homogeneous facet model. Some results on digital elevation models (DEM) obtained from aerial images with and without image constraints are provided. Numéro de notice : C2003-042 Affiliation des auteurs : COGIT+Ext (1988-2011) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2003.1246712 Date de publication en ligne : 24/11/2003 En ligne : https://doi.org/10.1109/ICIP.2003.1246712 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101120

Scale sets image analysis / Laurent Guigues (2003)  

Public Titre : Scale sets image analysis Type de document : Article/Communication Auteurs : Laurent Guigues , Auteur ; Hervé Le Men , Auteur ; Jean-Pierre Cocquerez, Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2003 Conférence : ICIP 2003, 10th IEEE International Conference on Image Processing 14/09/2003 18/09/2003 Barcelone Espagne Proceedings IEEE Importance : pp 45 - 48 Note générale : bibliographie Langues : Anglais (eng) Résumé : (auteur) This paper addresses the problem of multiscale region-oriented image analysis. It first deals with a representational issue: how to represent all the solutions of a multiscale partitioning algorithm, i.e. of an algorithm returning ordered partitions with respect to a one-dimensional 'scale' parameter? To achieve this, we propose the scale-sets representation which can be viewed as a region-oriented version of the scale-space representation. In a second time, we present an energy minimization based approach to obtain scale-sets image descriptions. We consider a general class of energies on partitions which involve two terms: a goodness-of-fit term and a regularization term. The scale parameter is then the relative weight between the two terms. We derive a condition at which such energies lead to monotone minimal cuts in a hierarchy of regions and we provide an algorithm to compute the whole set of those minimal cuts exactly and efficiently. This leads us to a parameter-free principle to build scale-sets image descriptions, which we call scale climbing. This principle can be viewed as an exact continuation method in scale and produces scale invariant image descriptions. Some results obtained with Mumford-Shah's cartoon model are provided. Different applications of scale-sets image descriptions are finally browsed. Numéro de notice : C2003-052 Affiliation des auteurs : MATIS+Ext (1993-2011) Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/ICIP.2003.1246612 En ligne : https://doi.org/10.1109/ICIP.2003.1246612 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=101189