BORG : a Knowledge-based system for the automation of image segmentation tasks

Régis Clouard 1 Abderrahim Elmoataz 1 Christine Porquet 1 Marinette Revenu 1
1 Equipe Image - Laboratoire GREYC - UMR6072
GREYC - Groupe de Recherche en Informatique, Image, Automatique et Instrumentation de Caen
Abstract : A knowledge-based system that automates the execution of image segmentation processes is presented. Given an image and a set of segmentation tasks, our system, named BORG, generates, performs and optimises the processing of classical segmentation operators, in order to produce new images that satisfy these tasks. Such a system must have capabilities for self-configuration to different segmentation tasks and to different image classes. The authors describe the design principles for building image segmentation applications based on the generation of a graph of operators that can deal with the whole set of images belonging to some given class. A model of the hierarchical and incremental planning process used for building this graph is presented and the system architecture is discussed. An application dealing with biomedical images is also described.
Type de document :
Communication dans un congrès
5th Int. Conf. on Image Processing and its applications, 1995, Edinburgh, United Kingdom. pp.524-528, 1995
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https://hal.archives-ouvertes.fr/hal-00962424
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  • HAL Id : hal-00962424, version 1

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Régis Clouard, Abderrahim Elmoataz, Christine Porquet, Marinette Revenu. BORG : a Knowledge-based system for the automation of image segmentation tasks. 5th Int. Conf. on Image Processing and its applications, 1995, Edinburgh, United Kingdom. pp.524-528, 1995. 〈hal-00962424〉

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