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GPU-accelerating ImageJ Macro image processing workflows using CLIJ

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arxiv 2008.11799 v1 pith:5G2FSV2F submitted 2020-08-26 cs.MS cs.DCq-bio.QM

Daniela Vorkel , Robert Haase This is my paper · ORCID
classification cs.MScs.DCq-bio.QM
keywords imagejmacroimageprocessingchaptergpu-acceleratedpre-existingworkflows
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This chapter introduces GPU-accelerated image processing in ImageJ/FIJI. The reader is expected to have some pre-existing knowledge of ImageJ Macro programming. Core concepts such as variables, for-loops, and functions are essential. The chapter provides basic guidelines for improved performance in typical image processing workflows. We present in a step-by-step tutorial how to translate a pre-existing ImageJ macro into a GPU-accelerated macro.

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