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» Unseeded Region Growing for 3D Image Segmentation
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DAGM
2005
Springer
14 years 1 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Estimation
Abstract. This paper presents the integration of 3D shape knowledge into a variational model for level set based image segmentation and tracking. Having a 3D surface model of an ob...
Thomas Brox, Bodo Rosenhahn, Joachim Weickert
CAIP
2007
Springer
202views Image Analysis» more  CAIP 2007»
14 years 1 months ago
Segmentation of Distinct Homogeneous Color Regions in Images
Abstract. In this paper, we present a novel algorithm to detect homogeneous color regions in images. We show its performance by applying it to skin detection. In contrast to previo...
Daniel Mohr, Gabriel Zachmann
DAGM
2010
Springer
13 years 7 months ago
Semi-supervised Learning of Edge Filters for Volumetric Image Segmentation
Abstract. For every segmentation task, prior knowledge about the object that shall be segmented has to be incorporated. This is typically performed either automatically by using la...
Margret Keuper, Robert Bensch, Karsten Voigt, Alex...
CAIP
2001
Springer
14 years 4 days ago
Visual Attention Guided Seed Selection for Color Image Segmentation
Abstract. The "seeded region growing" SRG is a segmentation technique which performs an image segmentation with respect to a set of initial points, known as seeds. Give...
Nabil Ouerhani, Neculai Archip, Heinz Hügli, ...
ICPR
2000
IEEE
14 years 1 days ago
Semantically Homogeneous Segmentation with Nonparametric Region Competition
Thispaper presents a nonparametricregion competition algorithm which combines scale-space clustering and region competition to segment the image. It also proposes a formal and gen...
Ming Tang, Jing Xiao, Songde Ma