Generalized structure tensor
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| Feature detection |
|---|
| Edge detection |
| Corner detection |
| Blob detection |
| Ridge detection |
| Hough transform |
| Structure tensor |
| Affine invariant feature detection |
| Feature description |
| Scale space |
Generalized Structure Tensor is an extension of the Cartesian Structure Tensor to Curvilinear Coordinates. It finds the direction along which an image can undergo a translation with minimal error, measured in L^2 norm (or in total least squares sense), wherein the translation is along the curvilinear coordinates (instead of Cartesian). Among the curvilinear coordinates, locally orthogonal coordinates, are best studied. [1][2][3]
The structure tensor is often used in image processing and computer vision.
- ^ J. Bigun and G. Granlund (1986), Optimal Orientation Detection of Linear Symmetry. Tech. Report LiTH-ISY-I-0828, Computer Vision Laboratory, Linkoping University, Sweden 1986; Thesis Report, Linkoping studies in science and technology No. 85, 1986.
- ^
J. Bigun and G. Granlund (1987.). "Optimal Orientation Detection of Linear Symmetry". First int. Conf. on Computer Vision, ICCV, (London). Piscataway: IEEE Computer Society Press, Piscataway. pp. 433–438.
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H. Knutsson (1989). "Representing local structure using tensors". Proceedings 6th Scandinavian Conf. on Image Analysis. Oulu: Oulu University. pp. 244–251.
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