GPU and CPU implementation of Young - Van Vliet's Recursive Gaussian Smoothing Filter
logo

Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3425
This document describes an implementation for GPU and CPU of Young and Van Vliet's recursive Gaussian smoothing as an external module for the Insight Toolkit ITK, version 4.* www.itk.org. In the absence of an OpenCL-capable platform, the code will run the CPU implementation as an alternative to the existing Deriche recursive Gaussian smoothing filter in ITK.
Code
minus Automatic Testing Results by Insight-Journal Dashboard on Fri Jul 19 10:52:24 2013 for revision #3
starstarstarstarstar expertise: 5 sensitivity: 5
yellow This project passed all of its tests.
Click here for more details.

Go here to access the main testing dashboard.
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Jul 19 10:21:35 2013 for revision #2
starstarstarstarstar expertise: 5 sensitivity: 5
plus Automatic Testing Results by Insight-Journal Dashboard on Fri Jul 19 10:38:09 2013 for revision #1
starstarstarstarstar expertise: 5 sensitivity: 5

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

Quick Comments


Resources
backyellow
Download All
Download Paper , View Paper
Download Source code
Source code repository

Statistics more
backyellow
Global rating: starstarstarstarstar
Review rating: starstarstarstarstar [review]
Code rating: starstarstarstarstar
Paper Quality: plus minus

Information more
backyellow
Categories: Blurring filters, Parallelization, SMP
Keywords: GPU, OpenCL, Recursive Gaussian Smoothing
Toolkits: ITK, CMake
Export citation:

Share
backyellow
Share

Linked Publications more
backyellow
Anisotropic Fast Marching in ITK Anisotropic Fast Marching in ITK
by Mirebeau J.
Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach Scalable Simple Linear Iterative Clustering (SSLIC) Using a Generic and Parallel Approach
by Lowekamp B., Chen D., Yaniv Z., Yoo T.

View license
Loading license...

Send a message to the author
main_flat
Powered by Midas