基于OpenCV的可扩展图像处理框架设计与实现

在图像处理领域中，一个图像处理系统无法同时满足多种不同的特殊处理需求，而每个特殊的图像处理系统又都需要类似的图像基础功能，根据软件复用的思想，开发一个可扩展的图像处理系统显得十分必要。本文实现了一种“框架＋插件”的可扩展图像处理软件模型，结合OpenCV视觉库，提供一个具有高性能图像处理基础功能的软件平台，同时制定扩展插件接口，弥合特殊图像处理需求，提高了程序重用性和扩展性。引入开源的OpenCV使软件框架具有更高的研究起点，适应更广泛的媒体类型，提供更高效率的处理性能。实践证明软件框架具有很好的扩展性和很高的实用性。

A Scalable Image Processing Framework Based on OpenCV

In the field of image processing, an image processing system can not meet the various special processing needs, but each special image processing system needs basic image processing functions. According to the idea of software reuse, the development of a scalable image processing system is necessary. This paper describes an implementation of a scalable image processing software model called ＂framework ＋ plug-ins＂. Combined with OpenCV library, software platform provides rich, efficient image processing functions. Extensible plug-in interface was established to meet the special image processing demand. It improves the reusability and expansibility of the program. With the combination of OpenCV, the software platform provides higher starting point for research, wider range of media types, more efficient processing performance. Practice proves that the software framework has good expansibility and high practicability.