Analyse von Bildmerkmalen zur Identifikation wichtiger Bildregionen

Eine zuverlässige Erkennung wichtiger Bildregionen ist die Grundlage für viele Verfahren im Bereich der Bildverarbeitung wie beispielsweise bei der Bildkompression, bei Verfahren zur Anpassung der Bildauflösung oder beim Einfügen digitaler Wasserzeichen in Bilder. Es wurde ein System entwickelt, das Merkmalspunkte in Bildern identifiziert und diese nutzt, um wichtige Bildbereiche zu identifizieren. Zur Berechnung der Merkmalspunkte wird das SURF-Verfahren (Speeded Up Robust Features) verwendet. Die gefundenen Merkmale werden in einem zweiten Schritt einzelnen Bildregionen zugeordnet. Die Qualität der ermittelten Regionen sowie das Laufzeitverhalten der verschiedenen Verfahren werden anhand einer umfangreichen Bilddatenbank analysiert

Analysis of Disparity Maps for Detecting Saliency in Stereoscopic Video

We present a system for automatically detecting salient image regions in stereoscopic videos. This report extends our previous system and provides additional details about its implementation. Our proposed algorithm considers information based on three dimensions: salient colors in individual frames, salient information derived from camera and object motion, and depth saliency. These three components are dynamically combined into one final saliency map based on the reliability of the individual saliency detectors. Such a combination allows using more efficient algorithms even if the quality of one detector degrades. For example, we use a computationally efficient stereo correspondence algorithm that might cause noisy disparity maps for certain scenarios. In this case, however, a more reliable saliency detection algorithm such as the image saliency is preferred. To evaluate the quality of the saliency detection, we created modified versions of stereoscopic videos with the non-salient regions blurred. Having users rate the quality of these videos, the results show that most users do not detect the blurred regions and that the automatic saliency detection is very reliable

Enlargement of Submicron Gas‐Borne Particles by Heterogeneous Condensation for Energy‐Efficient Aerosol Separation

To improve the efficiency of aerosol separation, a process sequence for particle enlargement by condensation of water vapor on their surface is suggested. The presented method makes use of packed columns in non-equilibrium operation to achieve supersaturation, which is required for droplet growth. Although this method is known for several years, it is not widely used in industrial processes and still needs accurate investigations for consolidation and establishment. The simulation tool AerCoDe3.0 for predicting saturation and particle growth in packed columns allows investigating the thermal energy consumption under various operation conditions. Based on the results obtained in this study, optimized arrangements of columns, which are applicable as preconditioning step for existing particle separators, are proposed