12th International Symposium on Flow Visualization
نویسنده
چکیده
In biological fluid mechanics powerful image acquisition systems which guarantee biocompatibility are required for making progress towards a better understanding of natural phenomena being optimized by evolution in nature. For this advanced evaluation methods enabling the sophisticated analysis and description of flow fields are also necessary. In the present contribution, a novel so called neurohybrid is presented which allows detecting artefacts in experimental PIV data of microorganismic flow fields caused by ciliates. The management of artefacts is performed by the neurohybrid using a priori knowledge of the flow physics formulated in numerical expressions and the enormous potential of artificial neural networks in predicting artefacts and correcting them. In fact, a neuronumerical hybrid based on the physical knowledge provided by the Taylor-hypothesis can detect not only spurious velocity vectors but also additional phenomena like the contraction of the zooid. This paper additionally deals also with a non-linear optical novelty filter which has decisive advantages in image processing as it automatically enhances the contrast of the biological tracer particles and removes quiescent image objects such as unavoidable dirt spots on the optical windows. Furthermore, the biocompatibility of novelty filtering has been shown to be excellent. Last but not least, model based reconstruction on GPU (Graphical Processing Unit) is proven to provide a powerful tool for recognizing data inconsistencies as well as for visualizing and analyzing flow field images. HYBRID APPROACH BETWEEN EXPERIMENT AND EVALUATION FOR ARTEFACT DETECTION AND FLOW FIELD RECONSTRUCTION – A NOVEL APPROACH EXEMPLIFIED ON MICROORGANISMIC INDUCED FLUID FLOWS H. Petermeier, A. Delgado , P. Kondratieva, R. Westermann, F. Holtmann, V.V.Krishnamachari, C. Denz 1 Technische Universität München , InformationsTechnologie Weihenstephan, Am Forum 1, 85354 Freising Friedrich-Alexander-Universität Erlangen-Nürnberg, Lehrstuhl für Strömungsmechanik, Cauerstr. 4, 91058 Erlangen 3 Technische Universität München, Computer Graphics & Visualization, Boltzmannstr. 3, 85748 Garching Westfälische Wilhelms-Universität Münster, Institut für Angewandte Physik, Correnstr. 2, 48149 Münster
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12th International Symposium on Flow Visualization
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تاریخ انتشار 2006