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Color Style Transfer Techniques using Hue, Lightness and Saturation Histogram Matching

Color Style Transfer Techniques using Hue, Lightness and Sat...

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1st Eurographics Workshop on Computational Aesthetics in graphics, Visualization, and Imaging, CAe 2005

作者： Neumann, László Neumann, Attila Grup de Gràfics de Girona Universitat de Girona Institució Catalana de Recerca i Estudis Avançats ICREA Barcelona Spain Institute of Computer Graphics and Algorithms Vienna University of Technology Austria

ISBN: (纸本)3905673274

We present new methods which transfer the color style of a source image into an arbitrary given target image having a different 3D color distribution. The color transfer has a high importance ensuring a wide area of applications from artistic transformation of the color atmosphere of images until different scientific visualizations using special gamut mappings. Our technique use a permissive, or optionally strict, 3D histogram matching, similarly to the sampling of multivariable functions applying a sequential chain of conditional probability density functions. We work by order of hue, hue dependent lightness and from both dependent saturation histograms of source and target images, respectively. We apply different histogram transformations, like smoothing or contrast limitation, in order to avoid some unexpected high gradients and other artifacts. Furthermore, we use dominance suppression optionally, by applying sub-linear functions for the histograms in order to get well balanced color distributions, or an overall appearance reflecting the memory color distribution better. Forward and inverse operations on the corresponding cumulative histograms ensure a continuous mapping of perceptual attributes correlating to limited derivatives. Sampling an appropriate fraction of the pixels and using perceptually accurate and continuous histograms with minimal size as well as other gems make this method robust and fast. © The Eurographics Association 2005.

关键词： Color

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A survey on music retrieval systems using microphone input

A survey on music retrieval systems using microphone input

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Annual International Workshop on DAtabases, TExts, Specifications and Objects, DATESO 2015

作者： Maršík, Ladislav Pokorný, Jaroslav Ilčík, Martin Dept. of Software Engineering Faculty of Mathematics and Physics Charles University Malostranské nám. 25 Prague Czech Republic Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11 Vienna Austria Vienna1040 Austria

Interactive music retrieval systems using microphone input have become popular, with applications ranging from whistle queries to robust audio search engines capable of retrieving music from a short sample recorded in noisy environment. The availability for mobile devices brought them to millions of users. Underlying methods have promising results in the case that user provides a short recorded sample and seeks additional information about the piece. Now, the focus needs to be switched to areas where we are still unable to satisfy the user needs. Such a scenario can be the choice of a favorite music performance from the set of covers, or recordings of the same musical piece, e.g. in classical music. Various algorithms have been proposed for both basic retrieval and more advanced use cases. In this paper we provide a survey of the state-of-the-art methods for interactive music retrieval systems, from the perspective of specific user requirements.

关键词： Search engines

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Multicenter aortic vessel tree extraction using deep learning

Multicenter aortic vessel tree extraction using deep learnin...

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Medical Imaging 2023: Biomedical Applications in Molecular, Structural, and Functional Imaging

作者： Scharinger, Bernhard Pepe, Antonio Jin, Yuan Gsaxner, Christina Li, Jianning Egger, Jan Graz University of Technology Institute for Computer Graphics and Vision Inffeldgasse 16c/II GrazA-8010 Austria Computer Algorithms for Medicine Laboratory Graz Austria Girardetstrasse 2 Essen45131 Germany Research Center for Connected Healthcare Big Data Zhejiang Lab Zhejiang Hangzhou311121 China

ISBN: (纸本)9781510660410

The aorta is the largest vessel of the human body and its pathological degenerations, such as dissections and aneurysms, can be life threatening. An automatic and fast segmentation of the aorta can therefore be a helpful tool to quickly identify an abnormal anatomy. The segmentation of the aortic vessel tree (AVT) typically requires extensive manual labor, but, in recent years, progress in deep learning techniques made the automation of this process viable. For this purpose, we tested different deep learning networks to segment the aortic vessel tree from computed tomography angiography (CTA) scans with a deep neural network consisting of an encoder-decoder architecture with skip connections and an optional self-attention block. The networks were trained on a dataset of 56 CTA scans from three different sources and resulted in Dice score similarities between 0.043-0.897. Generally, the classical U-Nets performed better than the ones containing a self-attention block, indicating that they might diminish performance for AVT segmentation. The quality of the resulting segmentations was highly dependent on the CTA image quality, especially on the contrast between the aorta and the surrounding tissues. However, the trained deep neural network can segment CTA scans well with limited computational resources and training data. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Deep neural networks

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Image segmentation based on active contours without edges

Image segmentation based on active contours without edges

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IEEE International Conference on Intelligent computer Communication and Processing (ICCP)

作者： Anca Morar Florica Moldoveanu Eduard Gröller Faculty of Automatic Control and Computers University POLITEHNICA of Bucharest Romania Institute of Computer Graphics and Algorithms University of Technology Vienna Austria

There are a lot of image segmentation techniques that try to differentiate between background and object pixels, but many of them fail to discriminate between different objects that are close to each other. Some image characteristics like low contrast between background and foreground or inhomogeneity within the objects increase the difficulty of correctly segmenting images. We designed a new segmentation algorithm based on active contours without edges. We also used other image processing techniques such as nonlinear anisotropic diffusion and adaptive thresholding in order to overcome the images' problems stated above. Our algorithm was tested on very noisy images, and the results were compared to those obtained with known methods, like segmentation using active contours without edges and graph cuts. The new technique led to very good results, but the time complexity was a drawback. However, this drawback was significantly reduced with the use of graphical programming. Our segmentation method has been successfully integrated in a software application whose aim is to segment the bones from CT datasets, extract the femur and produce personalized prostheses in hip arthroplasty.

关键词： Image segmentation Active contours Image edge detection Algorithm design and analysis Computed tomography Anisotropic magnetoresistance

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A memetic algorithm with two distinct solution representations for the partition graph coloring problem

A memetic algorithm with two distinct solution representatio...

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14th International Conference on computer Aided Systems Theory, EUROCAST 2013

作者： Pop, Petrica C. Hu, Bin Raidl, Günther R. Tech. Univ. Cluj-Napoca North Univ. Center Baia-Mare 76 Victoriei 430122 Baia-Mare Romania Institute of Computer Graphics and Algorithms Vienna University of Technology Favoritenstraße 9-11/1861 1040 Vienna Austria

ISBN: (纸本)9783642538551

In this paper we propose a memetic algorithm (MA) for the partition graph coloring problem. Given a clustered graph G = (V,E), the goal is to find a subset V âŠ V that contains exactly one node for each cluster and a coloring for V so that in the graph induced by V, two adjacent nodes have different colors and the total number of used colors is minimal. In our MA we use two distinct solution representations, one for the genetic operators and one for the local search procedure, which are tailored for the corresponding situations, respectively. The algorithm is evaluated on a common benchmark instances set and the computational results show that compared to a state-of-the-Art branch and cut algorithm, our MA achieves solid results in very short run-times. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Benchmarking

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On-Board Powerplant Numerical Optimization of Internal Combustion Engines in Series Hybrid-Powertrains

On-Board Powerplant Numerical Optimization of Internal Combu...

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FISITA 2012 World Automotive Congress--Volume 3:Future Automotive Powertrains

作者： Thorsten Krenek Thomas Lauer Bernhard Geringer Bacher Christopher Institute for Powertrains and Automotive Technology Vienna University of TechnologyViennaAustria Institute of Computer Graphics and Algorithms Vienna University of TechnologyViennaAustria

Serial-hybrid-powertrains in extended-range electric vehicles(E-REV)pose different requirements to internal combustion engines(ICE) than conventional *** E-REVs ICEs are not used for propulsion but for battery charging and cabin *** work deals with the design of ICEs in *** considers different operating strategies as well as the dimensioning of the electric components of the powertrain and the thermal ***,a longitudinal dynamic model was developed using GTSUITE including the ICE and the thermal *** engine was operated on a test bench in parallel to create the necessary maps for the numerical *** to the high amount of parameters that can be optimized when determining the operating strategies and dimensioning the components,by a numerical optimization method that was developed and customized for this *** numerical investigations showed that for higher vehicle speeds the direct propulsion of the ICE is more efficient while for lower speeds the operation of the ICE as a generator is the more efficient ***,the influence of the ambient temperature on the efficiency was taken into *** low ambient temperatures it is necessary to heat up the driver's cabin *** a thennal numerical model it was possible to show the dependency on the energy consumption,the component dimensioning and the configuration of the operation *** most favourable powertrain setup and the most efficient operating strategies were achieved by using the described numerical optimization *** new and comprehensive approach was to consider the entire vehicle including mechanical components,thermal components and operating strategies in the numerical model setup and the holistic optimization of them using selfdeveloped numerical optimization software.

关键词： Power-split hybrid-powertrain Numerical optimization Rangeextended electric vehicle Thermal management Internal combustion engine

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Advanced curved planar reformation: flattening of vascular structures

Advanced curved planar reformation: flattening of vascular s...

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IEEE Conference on Visualization

作者： A. Kanitsar R. Wegenkittl D. Fleischmann M.E. Groller Institute of Computer Graphics and Algorithms University of Technology Vienna Austria TIANI Medgraph Austria Department of Radiology University of Stanford USA

Traditional volume visualization techniques may provide incomplete clinical information needed for applications in medical visualization. In the area of vascular visualization important features such as the lumen of a diseased vessel segment may not be visible. Curved planar reformation (CPR) has proven to be an acceptable practical solution. Existing CPR techniques, however, still have diagnostically relevant limitations. In this paper, we introduce two advances methods for efficient vessel visualization, based on the concept of CPR. Both methods benefit from relaxation of spatial coherence in favor of improved feature perception. We present a new technique to visualize the interior of a vessel in a single image. A vessel is resampled along a spiral around its central axis. The helical spiral depicts the vessel volume. Furthermore, a method to display an entire vascular tree without mutually occluding vessels is presented. Minimal rotations at the bifurcations avoid occlusions. For each viewing direction the entire vessel structure is visible.

关键词： Computed tomography Arteries Magnetic resonance imaging Displays Angiography Data visualization Tree graphs Biomedical imaging Medical diagnostic imaging Spatial coherence

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Vivisection: Skeleton-based volume editing

Vivisection: Skeleton-based volume editing

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15th Eurographics Conference on Visualization, EuroVis 2013

作者： Karimov, A. Mistelbauer, G. Schmidt, J. Mindek, P. Schmidt, E. Sharipov, T. Bruckner, S. Gröller, E. Institute of Computer Graphics and Algorithms Vienna University of Technology Vienna Austria Stockerau Regional Hospital Stockerau Austria Republican Clinical Hospital of G. G. Kuvatov Ufa Russia Department of Informatics University of Bergen Bergen Norway

Volume segmentation is important in many applications, particularly in the medical domain. Most segmentation techniques, however, work fully automatically only in very restricted scenarios and cumbersome manual editing of the results is a common task. In this paper, we introduce a novel approach for the editing of segmentation results. Our method exploits structural features of the segmented object to enable intuitive and robust correction and verification. We demonstrate that our new approach can significantly increase the segmentation quality even in difficult cases such as in the presence of severe pathologies. © 2013 The Author(s).

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Integrating volume visualization techniques into medical applications

Integrating volume visualization techniques into medical app...

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IEEE International Symposium on Biomedical Imaging

作者： Stefan Bruckner Peter Kohlmann Armin Kanitsar M. Eduard Groller Institute of Computer Graphics and Algorithms University of Technology Vienna Austria AGFA-Gevaert N. V. Vienna Austria

One of the main obstacles in integrating 3D volume visualization in the clinical workflow is the time-consuming process of adjusting parameters such as viewpoint, transfer functions, and clipping planes required to generate a diagnostically relevant image. Current applications therefore make scarce use of volume rendering and instead primarily employ 2D views generated through standard techniques such as multi-planar reconstruction (MPR). However, in many cases 3D renditions can supply additional useful information. This paper discusses ongoing work which aims to improve the integration of 3D visualization into the diagnostic workflow by automatically generating meaningful renditions based on minimal user interaction. A method for automatically generating 3D views for structures in 2D slices based on a single picking interaction is presented.

关键词： Visualization Medical services Biomedical equipment Shape Rendering (computer graphics) Transfer functions Mice computer graphics Presses Inspection

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Classification of gothic and baroque architectural elements

Classification of gothic and baroque architectural elements

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International Conference on Systems, Signals and Image Processing, IWSSIP

作者： Gayane Shalunts Yll Haxhimusa Robert Sablatnig Institute of Computer Aided Automation Computer Vision Laboratory University of Technology Vienna Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab University of Technology Vienna Austria

Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectural styles is viewed as a task of classifying separate architectural structural elements. In the scope of building facade architectural style classification the current paper targets the problem of classification of Gothic and Baroque architectural elements called tracery, pediment and balustrade. Since certain gradient directions dominate on the shape of each architectural element, discrimination between dominating gradients means classification of architectural elements and thus architectural styles. We use local features to describe gradient directions. Our approach is based on clustering and learning of local features and yields a high classification rate.

关键词： Shape Three dimensional displays Visualization computer vision Histograms Windows

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