Linear Scale-Space has First been Proposed in Japan
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Generic Events for the Gradient Squared with Application to Multi-Scale Segmentation
SCALE-SPACE '97 Proceedings of the First International Conference on Scale-Space Theory in Computer Vision
IJCAI'83 Proceedings of the Eighth international joint conference on Artificial intelligence - Volume 2
Gradient Structure of Image in Scale Space
Journal of Mathematical Imaging and Vision
Critical Scale for Unsupervised Cluster Discovery
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
Unsupervised cluster discovery using statistics in scale space
Engineering Applications of Artificial Intelligence
Scale-space clustering with recursive validation
SSVM'07 Proceedings of the 1st international conference on Scale space and variational methods in computer vision
Bifurcation of segment edge curves in scale space
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
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This paper clarifies the nature of hierarchical relationships among singularities in the Gaussian scale-space. The hierarchy of the singular points is essentially provided by ‘stationary curves' and flux curves of ‘figure field'. They are defined, respectively, as the trajectories of stationary points across scale, and as the gradient field of the scale-space image at fixed scale. The figure field also reveals an important fact that a stationary point at infinity is involved in catastrophe events of local minimum points. These mathematical properties define the scale-space hierarchy, which is qualitatively described as a tree.