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In image analysis, the '''generalized structure tensor (GST)''' is an extension of the Cartesian [[structure tensor]] to [[curvilinear coordinates]].<ref name=bigun04pami3>{{cite news|author1=J. Bigun |author2=T. Bigun |author3=K. Nilsson |
title = Recognition by symmetry derivatives and the generalized structure tensor|
journal = IEEE trans. Pattern Analysis and Machine Intelligence|
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It is a widely known method in applications of image and video processing including computer vision, such as biometric identification by fingerprints,<ref name=fronthaler08tip>{{cite news|
title=Local features for enhancement and minutiae extraction in fingerprints|author1=H. Fronthaler |author2=K. Kollreider |author3=J. Bigun |
journal=Image Processing, IEEE Transactions on|
volume=17|
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issn=1057-7149|
year=2008|
publisher=IEEE}}</ref> and studies of human tissue sections.<ref name=Schmitt>{{cite news|author1=O. Schmitt |author2=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.|
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pages= 225–243
}}</ref>
▲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.|
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