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This paper presents a framework for mosaicing high resolution skin video sequences in the context of teleder-matology. While considering different stages of the mosaicing pipeline, including stitching and blending, several feature- and intensity-based image registration approaches are compared. Their performances in terms of quantitative and qualitative results are discussed so as to move towards...
Curvature and torsion of discrete curves are important quantities in numerous applications in 3D image processing. Classical algorithms based on high order derivatives lead to high errors when computing torsion of 3D curves with discrete data of low resolution. To face this challenge we present a discrete parameter free approach to calculate the torsion values without fitting continuous curves on...
The importance of applying different kinds of knowledge in image processing has been recognized for a long time. But a common belief is that reasoning and use of explicit knowledge can only be useful in the domain of high level processing and especially for image interpretation. As a result, usually, for the earlier steps of processing, emphasis is on filtering operations for edge detection and localization...
Sie variiert vom Einsatz der Kreativität in extrem absatzbezogenen Aktivitäten (z. B. Illustration von USPs) bis hin zu offeneren mehr markenimagebezogenen Anwendungen (z.B. Inszenierungen von Markengeschichte). Das ist auch leicht erklärbar, reicht doch die Bandbreite der Einsatzmöglichkeiten aller Marketinginstrumente von produktnahen Aktivitäten am POS bis zum Brand Placement in Computerspielen,...
Mosaicing of biological tissue surfaces is challenging due to the weak image textures. This contribution presents a mosaicing algorithm based on a robust and accurate variational optical flow scheme. A Riesz pyramid based multiscale approach aims at overcoming the “flattening-out” problem at coarser levels. Moreover, the structure information present in images of epithelial surfaces is incorporated...
Robustness and accuracy of the existing optical flow algorithms can still be improved for noisy, low textured and poorly contrasted images. Most methods are based on the variational approach given by the Horn-Schunck model which can suffer from over-smoothing problems. In this paper, we propose to take into account the significant structural information of the images during optical flow computation...
In white light cystoscopy, bladder images are characterized by a strong texture and scene illumination variability which complicates image mosaicing. State-of-art methods exhibit high image registration accuracy at the expense of computational time. We propose an algorithm which selects either a feature based method or an optical flow method according to the image texture; for fast and accurate bladder...
During the image placement onto the compositing surface (mosaic), stitching algorithms try to minimize visual inconsistencies (texture discontinuities), seam induced color gradients, and blurry image regions. These problems are classically processed separately. In this contribution, we describe a two step graph-cut algorithm that combines these issues. In the first step, optimal seam locations are...
When image primitives cannot be robustly extracted, the estimation of a perspective transformation between overlapping images can be formulated as a markov random field (MRF) and minimized efficiently using graph cuts. For well contrasted images with low noise level, a first order MRF leads to an accurate and robust registration. With increasing noise however, the registration quality decreases rapidly...
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