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» Contour Detection and Hierarchical Image Segmentation
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ICPR
2006
IEEE
15 years 10 months ago
Generic Detection of Multi-Part Objects
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Jean-Francois Bernier, Robert Bergevin
FIMH
2005
Springer
15 years 3 months ago
Long-Axis Cardiac MRI Contour Detection with Adaptive Virtual Exploring Robot
Abstract. This paper describes a method for automatic contour detection in long-axis cardiac MRI using an adaptive virtual exploring robot. The robot is a simulated trained virtual...
Mark Blok, Mikhail G. Danilouchkine, Cor J. Veenma...
ICCV
2005
IEEE
15 years 3 months ago
Contour-Based Learning for Object Detection
We present a novel categorical object detection scheme that uses only local contour-based features. A two-stage, partially supervised learning architecture is proposed: a rudiment...
Jamie Shotton, Andrew Blake, Roberto Cipolla
MICCAI
2006
Springer
15 years 10 months ago
Hierarchical Part-Based Detection of 3D Flexible Tubes: Application to CT Colonoscopy
In this paper, we present a learning-based method for the detection and segmentation of 3D free-form tubular structures, such as the rectal tubes in CT colonoscopy. This method can...
Adrian Barbu, Luca Bogoni, Dorin Comaniciu
105
Voted
MICCAI
2003
Springer
15 years 10 months ago
Hierarchical Segmentation of Thin Structures in Volumetric Medical Images
We introduce a new method for segmentation of 3D medical data based on geometric variational principles. A minimal variance criterion is coupled with a geometric edge alignment mea...
Michal Holtzman-Gazit, Dorith Goldsher, Ron Kimmel