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.

中文翻译：

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使用 CLIJ 的 GPU 加速 ImageJ 宏图像处理工作流程

本章介绍 ImageJ/FIJI 中 GPU 加速的图像处理。读者应该具备一些 ImageJ 宏编程的预先存在的知识。变量、for 循环和函数等核心概念是必不可少的。本章提供了在典型图像处理工作流程中提高性能的基本指南。我们在分步教程中介绍了如何将预先存在的 ImageJ 宏转换为 GPU 加速的宏。