Thomas Zöller

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Most cost function based clustering or partitioning methods measure the compactness of groups of data. In contrast to this picture of a point source in feature space, some data sources are spread out on a low-dimensional manifold which is embedded in a high dimensional data space. This property is adequately captured by the criterion of connectedness which(More)
Unsupervised Image Segmentation is one of the central issues in Computer Vision. From the viewpoint of exploratory data analysis, segmentation can be formulated as a clustering problem in which pix-els or small image patches are grouped together based on local feature information. In this contribution, parametrical distributional clustering (PDC) is(More)
Automated segmentation of images has been considered an important intermediate processing task to extract semantic meaning from pixels. We propose an integrated approach for image segmentation based on a generative clustering model combined with coarse shape information and robust parameter estimation. The sensitivity of segmentation solutions to image(More)
Unsupervised image segmentation can be formulated as a clustering problem in which pixels or small image patches are grouped together based on local feature information. In this contribution, parametric distributional clustering (PDC) is presented as a novel approach to image segmen-tation based on color and texture clues. The objective function of the PDC(More)
In this contribution we analyze communication requirements of multi-agent simulation systems using IT-SimBw -- developed at Fraunhofer IAIS -- as an example. A focus is put on issues concerning inter-agent communication but complementary aspects of user interaction and coupling with C2 systems are also discussed. We propose an augmented version of the(More)
The aim of this paper is the presentation of the military multi-agent simulation system ITSimBw. Its decisive features include a strictly agent-based approach to modeling, in which every entity in a simulated environment can potentially become an active element. Technologically, ITSimBw is based on the <i>Flip-Tick-Architecture</i>. Moreover, a focus on IT(More)
The automated segmentation of images into semantically meaningful parts requires shape information since low-level feature analysis alone often fails to reach this goal. We introduce a novel method of shape constrained image segmentation which is based on mixtures of feature distributions for color and texture as well as probabilistic shape knowledge. The(More)
The synthesis, radiolabeling and in vitro evaluation of new silicon-fluoride acceptor (SiFA) derivatized D(2)-receptor ligands is reported. The SiFA-technology simplifies the introduction of fluorine-18 into target specific biomolecules for Positron-Emission-Tomography (PET). However, one of the remaining challenges, especially for small molecules such as(More)
In this contribution, we give an overview on the military multi-agent simulation environment ITSimBw, which is developed at Fraunhofer IAIS/ART under contract for the department A5 of the IT office of the German Armed Forces (ITAmtBw), where the project is overseen by Captain Thomas Doll. Due to the growing importance of network centric capabilities in(More)