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Go-Go Gabor Gadgetry

Tustison, Nicholas, Gee, James
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/500
New: Prefer using the following doi: https://doi.org/10.54294/dhogdz
Submitted by Nicholas J. Tustison on 2007-04-20T19:09:25Z.

Although Gabor filtering is quite prevalent in the computer vision community for such tasks as texture segmentation and motion analysis, such capabilities are conspicuously absent from the Insight Toolkit. The contribution described in this paper attempts to remedy this deficiency by introducing two new classes: itkGaborKernelFunction and itkGaborImageSource.