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OpenCL accelerated GPU binary morphology image filters for ITK

Bardosi, Zoltan
Medical University of Innsbruck
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Please use this identifier to cite or link to this publication: http://hdl.handle.net/10380/3525
New: Prefer using the following doi: https://doi.org/10.54294/slmdb3
Published in The Insight Journal - 2015 January-December.
Submitted by Zoltan Bardosi on 2015-10-02 07:25:57.

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.