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» Image segmentation using curve evolution and flow fields
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MICCAI
2000
Springer
13 years 11 months ago
Segmentation by Adaptive Geodesic Active Contours
This paper introduces the use of spatially adaptive components into the geodesic active contour segmentation method for application to volumetric medical images. These components a...
Carl-Fredrik Westin, Liana M. Lorigo, Olivier D. F...
ICCV
2007
IEEE
14 years 9 months ago
Applications of parametric maxflow in computer vision
The maximum flow algorithm for minimizing energy functions of binary variables has become a standard tool in computer vision. In many cases, unary costs of the energy depend linea...
Vladimir Kolmogorov, Yuri Boykov, Carsten Rother
MVA
1990
123views Computer Vision» more  MVA 1990»
13 years 8 months ago
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
Pekka Kultanen, Erkki Oja, Lei Xu
MICCAI
2002
Springer
14 years 8 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
SCALESPACE
1999
Springer
13 years 11 months ago
Multiscale Morphological Segmentations Based on Watershed, Flooding, and Eikonal PDE
The classical morphological segmentation paradigm is based on the watershed transform, constructed by flooding the gradient image seen as a topographic surface. For flooding a to...
Fernand Meyer, Petros Maragos