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» Image Segmentation Using Topological Persistence
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SMI
2007
IEEE
157views Image Analysis» more  SMI 2007»
15 years 3 months ago
Skeleton-based Hierarchical Shape Segmentation
We present an effective framework for segmenting 3D shapes into meaningful components using the curve skeleton. Our algorithm identifies a number of a critical points on the curv...
Dennie Reniers, Alexandru Telea
ICPR
2008
IEEE
15 years 4 months ago
A bottom-up, view-point invariant human detector
We propose a bottom-up human detector that can deal with arbitrary poses and viewpoints. Heads, limbs and torsos are individually detected, and an efficient assembly strategy is u...
Nicolas Thome, Sebastien Ambellouis
EMMCVPR
2011
Springer
13 years 9 months ago
High Resolution Segmentation of Neuronal Tissues from Low Depth-Resolution EM Imagery
The challenge of recovering the topology of massive neuronal circuits can potentially be met by high throughput Electron Microscopy (EM) imagery. Segmenting a 3-dimensional stack o...
Daniel Glasner, Tao Hu, Juan Nunez-Iglesias, Lou S...
IPMI
2007
Springer
15 years 10 months ago
A Shape-Guided Deformable Model with Evolutionary Algorithm Initialization for 3D Soft Tissue Segmentation
Abstract. We present a novel method for the segmentation of volumetric images, which is especially suitable for highly variable soft tissue structures. Core of the algorithm is a s...
Hans-Peter Meinzer, Ivo Wolf, Sascha Münzing,...
TMI
1998
166views more  TMI 1998»
14 years 9 months ago
Geodesic Deformable Models for Medical Image Analysis
—In this paper implicit representations of deformable models for medical image enhancement and segmentation are considered. The advantage of implicit models over classical explic...
Wiro J. Niessen, Bart M. ter Haar Romeny, Max A. V...