Go-Go Gabor Gadgetry
Tustison N., Gee J.
PICSL, University of Pennsylvania

Please use this identifier to cite or link to this publication: http://hdl.handle.net/1926/500
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.
Data
minus 2 Files (4Mb)
Code
There is no code review at this time.

Reviews
There is no review at this time. Be the first to review this publication!

Statistics
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating:
Views: 3402
Downloads: 822

Send a message to the author

Information
backyellow
Paper Id: 150
Categories: Edge Detection, Feature extraction, Filtering, Image, Images, IO, Mathematics, Segmentation
Keywords: filtering, Gabor, image source, kernel,
Toolkit: ITK
Revision:
Status: Open for public review
View license
Loading license...

Data
backyellow
Full download: .zip
Paper: view, .pdf

Share
backyellow
Facebook Digg delicious StumbleUpon dzone Furl Technorati Reddit

Associated Publications
backyellow
MATITK: EXTENDING MATLAB WITH ITK
Slice by slice filtering with ITK
Generalized Computation of Gaussian Derivatives Using ITK

main_flat
main_bottom
Powered by Midas