- 3940 users, 634 publications, 775 reviews -
OpenCL accelerated GPU binary morphology image filters for ITK
|Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3525|
Submitted by Zoltan Bardosi on 10-02-2015.
Binary morphological operations are fundamental tools in image processing but the processing time scales with the number of pixels thus making them expensive operations on the CPU for larger 3D datasets that typically appear in medical imaging. Since erosion and dilatation are special neighborhood operators, each pixel in the output depends only on the neighborhood region which makes them fit for massive GPU parallelization. This document introduces a new ITK module that implements generic (OpenCL based) GPU accelerated binary morphology image filters for erosion and dilatation. The filter can be executed within the standard ITKGPU pipeline.
|Download Paper , View Paper|
|Download Source code|
|Categories:||Code speed optimization, Mathematical Morphology|
|Keywords:||GPU, binary morphology|
InsightToolkit Kinetic Analysis (itk::ka) Library
by Dowson N., Baker C., Raffelt D., Smith J., Thomas P., Salvado O., Rose S.
Recommended Publications more
Performance Benchmarking the Insight Toolkit
by McCormick M., Kang H.J., Barre S.
Alternative Memory Models for ITK Images
by Mueller D.
Send a message to the author