为了有效地提高面向逆向工程的工业CT图像轮廓处理的精准性和计算效率，开发了工业CT图像轮廓提取与优化系统。该系统主要包括图像处理模块、轮廓识别与提取模块、轮廓拟合与优化模块、图像处理经典算法库和数据接口等功能模块，实现了从工业CT图像到轮廓数据的三维点云与轮廓线的标准格式输出，并与逆向工程软件对接。同时，在轮廓拟合与优化模块中，提出了基于全局约束模型的轮廓拟合策略，并采用有向图分解和数值代数相结合的计算方法，提高了轮廓拟合的计算精度和效率。最后通过实例验证了系统的有效性和正确性。

To improve accuracy and efficiency of contour processing of industrial computed tomography (CT) images for reverse engineering, an industrial CT slicing image contour extraction and optimization system is developed in this paper. The system includes five parts, which are modules of image processing, contour recognition and extraction, contour fitting and optimization, image processing algorithm library, and contour data format transform. The processing results of the system can be organized as 3-D point clouds or contour line used standard format, which can be used to reconstruct 3D CAD model directly in professional softwares of reverse engineering. Further more, a fitting model based on global constraints is constructed to find the optimal contour curves, and a method combining directed graph decomposition and numerical algebra is proposed to improve the accuracy and efficiency of fitting contours. Finally, the effectiveness and feasibility of this system is proved with an experiment.