Evaluation of Ridge Seeking Operators for Multimodality Medical Image Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Unbiased Detector of Curvilinear Structures
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Computational Method for Segmenting Topological Point-Sets and Application to Image Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiresolution Analysis of Ridges and Valleys in Grey-Scale Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Creaseness from Level Set Extrinsic Curvature
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume II - Volume II
Multiscale detection of curvilinear structures in 2-D and 3-D image data
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
A constrained road-based VR navigation technique for travelling in 3D city models
Proceedings of the 2005 international conference on Augmented tele-existence
Statistical analysis of myocyte orientations of the left ventricular myocardium
MDA'06/07 Proceedings of the 2007 international conference on Advances in mass data analysis of signals and images in medicine biotechnology and chemistry
Unbiased extraction of lines with parabolic and Gaussian profiles
Computer Vision and Image Understanding
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Applying the divergence operator on the gradient vector field is known as a robust method for computing the local creaseness, defined as the level set extrinsic curvature. Based on this measure, we present a multi-scale method to extract continuous midlines of elongated objects of various widths simultaneously. The scale-space is not built on the input image, but on the gradient vector field. During the iterative construction of the scale-space the current solution keeps thin objects even when they are located near more dominant structures. The representation of the midlines is realised as curves in the image plane, consisting of equidistant sample points. At each sample point the tangential direction of the curve is computed directly with the smoothed gradient vector field.