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MVA
1998
158views Computer Vision» more  MVA 1998»
13 years 6 months ago
Detection of Curvilinear Structures Using the Euclidean Distance Transform
In this paper, we present a new method for detecting curvilinear structures in a gray-scale image. The concept of skeleton extraction is introduced to detect more general structur...
Jeong-Hun Jang, Ki-Sang Hong
IPMI
1999
Springer
14 years 5 months ago
Brain Morphometry by Distance Measurement in a Non-Euclidean, Curvilinear Space
Inspired by the discussion in neurological research about the callosal fiber connections with respect to brain asymmetry we developed a technique that measures distances between br...
Martin Styner, Thomas Coradi, Guido Gerig
PR
2002
98views more  PR 2002»
13 years 4 months ago
Detection of curvilinear structures and reconstruction of their regions in gray-scale images
In this paper, we present a new method for detecting curvilinear structures and reconstructing their regions in gray-scale images. The concept of skeleton extraction is introduced...
Jeong-Hun Jang, Ki-Sang Hong
CAIP
2009
Springer
182views Image Analysis» more  CAIP 2009»
13 years 9 months ago
New Lane Model and Distance Transform for Lane Detection and Tracking
Particle filtering of boundary points is a robust way to estimate lanes. This paper introduces a new lane model in correspondence to this particle filterbased approach, which is ...
Ruyi Jiang, Reinhard Klette, Tobi Vaudrey, Shigang...
IJCV
2007
363views more  IJCV 2007»
13 years 4 months ago
Image Analysis and Reconstruction using a Wavelet Transform Constructed from a Reducible Representation of the Euclidean Motion
Abstract. Inspired by the early visual system of many mammalians we consider the construction of-and reconstruction from- an orientation score Uf : R2 ×S1 → C as a local orienta...
Remco Duits, Michael Felsberg, Gösta H. Granl...