Generalized structure tensor: Difference between revisions

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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 [[L2 norm]] amounting to [[total least squares]] sense, where the translation is along the curvilinear coordinates (instead of Cartesian).

Among the curvilinear coordinates, locally orthogonal coordinates, are best studied.<ref name=bigun86>

{{cite conference|

@inproceedings{bigun1988pattern,

author={J. Bigun, Josef},|

Title= title="Pattern recognition by detection of local symmetries",|

author={Bigun, Josef},

booktitle={Proceedings of Pattern Recognition in Practice III},|

year={1988}

}}</ref>

The Generalized structure tensor can be used as an alternative to [[Hough Transform]] in [[image processing]] and [[computer vision]]. The main differences comprise: