中文说明：应用背景MATLAB（MathWorks®，Natick，MA，USA）是一个‐数值计算软件包可用于各种科学领域，如数学，物理，电子，工程与生物学。超过40的工具箱在当前版本是可用的（r2013b在九月发布的2013），其中包括许多内置的功能增强的访问高级编程语言。关键技术线”& gt；<；因为图像可以通过二维或三维矩阵和MATLAB处理引擎为代表依赖于所有实体的矩阵表示，MATLAB是特别适合于实现‐方法和图像处理的工作流程测试。图像处理工具箱™（IPT）包括所有的通用图像处理所需的工具，将多300个功能已被优化，以提供良好的精度和高速度的处理。此外，内置的并行计算工具箱™（PCT）最近已扩大和现在支持的图形处理单元（GPU）的脚本功能加速。然而，对于许多图像处理应用程序，我们仍然需要编写我们自己的代码，无论是在Matlab中，GPU加速的情况下需要特定的控制应用在CUDA的GPU资源，（英伟达公司，圣克拉拉，CA，USA）。
English Description：
Application background matlab (MathWorks, Natick, Ma, USA) is a numerical calculation software package, which can be used in various scientific fields, such as mathematics, physics, electronics, engineering and biology. More than 40 toolkits are available in the current version (r2013b released in September 2013), including many built-in enhanced access to advanced programming languages. Key technology line "& gt; & lt; because images can be represented by two-dimensional or three-dimensional matrix and MATLAB processing engine, which depends on the matrix representation of all entities, Matlab is particularly suitable for workflow testing of implementation of ‐ method and image processing. image processing toolbox ™ (IPT) includes all the tools required for general image processing, and 300 more functions have been optimized to provide good precision and high speed processing. In addition, the built-in parallel computing toolbox ™ PCT has recently expanded and now supports the script function acceleration of graphics processing unit (GPU). However, for many image processing applications, we still need to write our own code, no matter in MATLAB, GPU acceleration needs specific control application in CUDA GPU resources, (NVIDIA, Santa Clara, CA, USA).