基于γ光子的叶片沉积物检测系统的设计

Design of Engine Blade Sediment Detection System Based on γ Photon

针对目前利用γ光子进行发动机叶片沉积物检测需要的流程多,且没有相应软件平台的问题,设计一个γ光子探测装置控制与图像处理系统软件,包括控制探测器进行数据的采集模块、检测图像处理模块以及点云配准模块等的设计。该系统基于Qt平台,集成了VTK、ITK、PCL等C++类库,并设计实现一种基于PCA-ICP的点云配准算法优化。经实验测试表明:该配准算法能够有效提高沉积物检测的效率及精度,并且该系统设计能够实现对探测装置的控制并满足对图像的处理要求。

Regarding the complex processes of engine blade detection by means of γ photon and lack of related software platform,this paper designs a γ photon detection device control and image processing system software,which includes the design of data acquisition module,detection image processing module and point cloud registration module controling the detector.Based on Qt platform,the system integrates VTK,ITK,PCL and other C++class libraries,and designs and implements a point cloud registration algorithm optimization based on PCA-ICP.The experiments show that the registration algorithm can effectively improve the efficiency and accuracy of sediment detection,and the system design can achieve the control of detection devices and meet the requirements of image processing.