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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 6 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 5 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 10 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 5 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...