医学图像可视化自动编程平台的设计

Design of Visual Automatic Programming Platform for Medical Images

为了充分利用现有的各种医学图像处理算法,避免重复开发,提高开发效率,设计并实现了一个基于OpenCV图像处理基础算法库的医学图像可视化自动编程平台。该平台在开放源代码的基础上,充分整合了OpenCV算法库,避免了算法的重复开发。通过对可视化编程技术的研究,实现了该平台中编程过程的可视化与自动化。同时利用OpenCV平台无关的特性,使用makefile文件来控制生成程序代码的编译,实现了生成的程序代码的可移植性。并讨论了平台的整体结构设计与各个模块具体实现。最后给出一个开发实例,证明了该平台在算法测试和开发方面的高效性与简洁性。

A visual automatic medical image programming platform is designed and implemented based on OpenCV image processing basic algorithm library in order to make fully use of existing medical image processing algorithms,avoid redevelopment of algorithms and improve developing efficiency.The platform integrates OpenCV algorithm library sufficiently based on open source codes.Visualization and automation of programming in the platform is implemented through study of visual program technology.Meanwhile,the platform uses makefile to control compiling of program code by OpenCV platform irrelevant feature,implementing transportability of generated program code.The design of the framework of platform and the detailed implements of each module are discussed.The example shows the efficiency and concision of the platform to testify and develop algorithms.