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Line 10: volume = 26\| year = 2004\| }}</ref>, GST, is an extension of the Cartesian [[Structure Tensor]] to ~~the~~ [[Curvilinear coordinates]]. It is mainly used as a way to detect and to represent the "direction" parameters of curves, just like the Cartesian structure tensor detects and represents the direction in Cartesian coordinates. ~~Detection of curve~~Curve families generated by pairs of locally orthogonal functions are best studied. It is a widely known method in applicatons of image and video processing including computer vision. Some applications include biometric identification by fingerprints<ref name=fronthaler08tip>{{cite article\| title=Local features for enhancement and minutiae extraction in fingerprints\| author = H. Fronthaler and K. Kollreider and J. Bigun\| journal=Image Processing, IEEE Transactions on\| volume=17\| number=3\| pages=354--363\| issn=1057-7149\| year=2008\| publisher=IEEE\| }}</ref>, and studies of human tissue sections<ref name=Schmitt>{{cite article\| author=O. Schmitt, H. Birkholz\| title=Improvement in cytoarchitectonic mapping by combining electrodynamic modeling with local orientation in high-resolution images of the cerebral cortex\| journal=Microsc. Res. Tech.\| volume= 74\| year=2010\| pages= pp. 225–-243 }}</ref>, <ref name=Schmitt2>{{cite article\| author=O. Schmitt, M. Pakura, T. Aach, L. Homke, M. Bohme, S. Bock, S. Preusse\| title=Analysis of nerve fibers and their distribution in histologic sections of the human brain\| journal=Microsc. Res. Tech.\| volume= 63\| year=2004\| pages= pp. 220–243\| }}</ref>. Let the term image represent a function

Generalized structure tensor: Difference between revisions