Workshop on Applications of Discrete Geometry and Mathematical Morphology

CALL FOR PAPERS   

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This workshop is specifically designed to promote interchange and collaboration between experts in discrete geometry/mathematical morphology and potential users of these methods from other fields of image analysis and pattern recognition. It will comprise four invited review talks by leading researchers in the field, followed by sessions promoting direct exchange and discussion, supported by posters and software demos. We seek posters and software demos that highlight important practical innovations, including

• Efficient and theoretically proven representations for image segmentation etc

• Fast and accurate algorithms to extract topological and geometric features

• Connections between discrete geometry/mathematical morphology and other fields of pattern recognition (optimization, statistics, machine learning etc)

• Parallelization (cluster-based, GPU-based)

• Application to higher-dimensional data with emphasis on biomedical and remote sensing applications (3D, multi-temporal, multi-sensor, multi/hyper-spectral data)

• Thorough comparison with alternative approaches in interesting application areas

Workshop proceedings will be made available to the participants at the beginning of the workshop. The organizers will also investigate the possibility to publish a book or journal based on expanded versions of the materials presented at the workshop.

Description

Discrete geometry and mathematical morphology play an essential role in image analysis, computer graphics, pattern recognition, shape modelling, and computer vision because they take the inherently discrete nature of the data into account from the outset. Thus, discrete geometry and mathematical morphology provide a theoretical sound, yet computationally efficient framework for digital image analysis in two and higher dimensional spaces. Important recent results include methods for the representation and analysis of topological maps, fast algorithms for 3-dimensional skeletons, topological watersheds, connected filters, and hierarchical image segmentation, as well as application-specific ones in areas such as remote sensing, medical imaging, and document analysis.

The successful DGCI conference series ("Discrete Geometry for Computer Imagery") has become the main forum for experts in the field. However, no corresponding forum for the exchange of ideas between digital geometry experts and potential users exists so far. The same applies to mathematical morphology where the main conference ISMM ("International Symposium on Mathematical Morphology") is often restricted to experts. The proposed workshop is meant to close this gap.

Invited Speakers

• Peer Stelldinger (University of Hamburg): “Topology in discrete spaces”

• David Coeurjolly (LIRIS – Lyon) and Jacques-Olivier Lachaud (LAMA – Chambéry): “Digital shape analysis”

• Laurent Najman (ESIEE Marne-la-Vallée) and Pierre Soille (JRC Ispra): “Hierarchical representations for image processing and data clustering”