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.
CITATION STYLE
Vorkel, D., & Haase, R. (2022). GPU-Accelerating ImageJ Macro Image Processing Workflows Using CLIJ (pp. 89–114). https://doi.org/10.1007/978-3-030-76394-7_5
Mendeley helps you to discover research relevant for your work.