English

GPU-accelerating ImageJ Macro image processing workflows using CLIJ

Mathematical Software 2020-08-28 v1 Distributed, Parallel, and Cluster Computing Quantitative Methods

Abstract

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.

Cite

@article{arxiv.2008.11799,
  title  = {GPU-accelerating ImageJ Macro image processing workflows using CLIJ},
  author = {Daniela Vorkel and Robert Haase},
  journal= {arXiv preprint arXiv:2008.11799},
  year   = {2020}
}