Solid shape
Scale-Space Theory in Computer Vision
Scale-Space Theory in Computer Vision
Edge Detection and Ridge Detection with Automatic Scale Selection
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Structure Extraction from Decorated Characters Using Multiscale Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expanding selfsimilar solutions of a crystalline flow with applications to contour figure analysis
Discrete Applied Mathematics - Special issue: Advances in discrete geometry and topology (DGCI 2003)
Expanding selfsimilar solutions of a crystalline flow with applications to contour figure analysis
Discrete Applied Mathematics - Special issue: Advances in discrete geometry and topology (DGCI 2003)
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A method which detects the characteristic shapes and sizes of image structures is proposed. The method, first, blurs an image by Gaussian filters with various scales. Then, at every scale, principal curvatures of the image g raylevel profile are calculated for every position. As the scale changes, the principal curvatures change. We detect the inherent shapes and sizes of the image structures by characterizing the type of the change of the principal curvatures. For the detection, we introduce the idea of principal curvature plane spanned by the two principal curvatures as its Cartesian coordinates.