Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Josef Heers"'
Publikováno v:
IEEE Transactions on Image Processing. 10:852-864
We investigate several iterative numerical schemes for nonlinear variational image smoothing and segmentation implemented in parallel. A general iterative framework subsuming these schemes is suggested for which global convergence irrespective of the
Autor:
Josef Heers, Joachim Weickert, Otmar Scherzer, H. Siegfried Stiehl, Christoph Schnörr, Karel J. Zuiderveld
Publikováno v:
Real-Time Imaging. 7:31-45
Variational segmentation and nonlinear diffusion approaches have been very active research areas in the fields of image processing and computer vision during recent years. In the present paper, we review recent advances in the development of efficien
Publikováno v:
Real-Time Imaging. 7:127-142
Reconstruction of given noisy data is an ill-posed problem and a computationally intensive task. Nonlinear regularization techniques are used to find a unique solution under certain constraints. In our contribution we present a parallel mixed-signal
Publikováno v:
1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359).
In Schnorr et al. (1996) a theoretical framework for locally-adaptive smoothing of multi-dimensional data was presented. Based on this framework we introduce a hardware efficient architecture suitable for mixed-mode VLSI implementation. Substantial s
Publikováno v:
ICIP (3)
We consider a nonquadratic convex variational segmentation approach and investigate numerical schemes to allow for an efficient computation of the global minimum on a parallel architecture. We focus on iterative schemes for which we can show global c
Publikováno v:
Mustererkennung 1998 ISBN: 9783540649359
DAGM-Symposium
DAGM-Symposium
Wir betrachten nicht-quadratische, konvexe Variationsansatze zur Bildsegmentation und untersuchen numerische Verfahren, die eine effiziente Berechnung globaler Minima auf parallelen Architekturen erlauben. Unser Augenmerk gilt dabei Verfahren mit glo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0333f2162540c79d35b90bd1db40c675
https://doi.org/10.1007/978-3-642-72282-0_10
https://doi.org/10.1007/978-3-642-72282-0_10
Publikováno v:
Mustererkennung 1998 ISBN: 9783540649359
Reconstruction of given noisy data is an ill-posed problem and a computationally intensive task. Non-linear regularisation techniques are used to find a unique solution under certain constraints. In our contribution we present a parallel mixed-signal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b473554aae53a506e7ac7095d96580bb
https://doi.org/10.1007/978-3-642-72282-0_37
https://doi.org/10.1007/978-3-642-72282-0_37
Publikováno v:
Noblesse Workshop on Non-Linear Model Based Image Analysis ISBN: 9783540762584
NMBIA
NMBIA
Compact feature-based image coding as well as view-based object representations require a preprocessing step that abstracts from image details while preserving essential signal structures. Variational segmentation and nonlinear diffusion approaches p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::58f4a36424130b7ce10d6bf163a54ad1
https://doi.org/10.1007/978-1-4471-1597-7_23
https://doi.org/10.1007/978-1-4471-1597-7_23
Conference
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