论文标题

使用clij

GPU-accelerating ImageJ Macro image processing workflows using CLIJ

论文作者

Vorkel, Daniela, Haase, Robert

论文摘要

本章介绍了ImageJ/Fiji中的GPU加速图像处理。预计读者将对ImageJ宏编程具有一些先前的知识。核心概念(例如变量,for-loops和功能)至关重要。本章为改善典型图像处理工作流程的性能提供了基本指南。我们在逐步的教程中介绍如何将现有的Imagej宏转换为GPU加速宏。

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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