为了利用现代图形处理单元 (GPU) 提供的性能优势，某些 Image Processing Toolbox™ 函数可以在 GPU 上执行图像处理运算。这些函数为复杂的图像处理工作流提供 GPU 加速。
利用图形处理单元 (GPU) 加速来支持复杂的图像处理工作流。
Parallel Block Processing on Large Image Files
If you have a Parallel Computing Toolbox™ license, you can take advantage of multiple processor cores on your
machine to improve the performance of blockproc.
支持 GPU 计算的函数
Perform pixel-based operations on a GPU by using functions that send both the data and the operations to the GPU for processing. This method is most effective for element-wise operations that require two or more data sets.
Perform image processing operations on a GPU. The example uses filtering to highlight the watery areas in an aerial photograph.
您点击的链接对应于以下 MATLAB 命令：
请在 MATLAB 命令行窗口中直接输入以执行命令。Web 浏览器不支持 MATLAB 命令。
Choose a web site to get translated content where available and see local events and offers. Based on your location, we recommend that you select: .
You can also select a web site from the following list:
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.
Contact your local office