拐点不变量是局部不变量的一种,具有旋转、平移、尺度缩放不变性,可以有效地应用于缺损目标识别.该文利用Dempster-Shafer证据推理法,将用不同方法求取拐点特征所得到的决策层信息进行融合.进一步提高了识别系统的可靠性.通过仿真实验对该方法进行了验证.

Corner feature is a usually used local invariant. It is widely applied for national defense and industry technology. Using different methods: the splitting-merging algorithm, the improved Hough transform method and the extended corner invariant algorithm, different corner features is extracted to recognize occluded objects in this paper. Finally, Dempster-Shafer evidential reasoning method is adopted for data fusion at report level. This method can use information from different sources and decrease uncertainty of the recognition system. The classification experiment shows that this method effectively improves the matching precision of the recognition system.