利用信息融合技术的缺损目标识别方法

王延平; 袁 杰; 廖 原; 苏祥芳

doi:10.11834/jig.20000312

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专辑

利用信息融合技术的缺损目标识别方法
Pattern Recognition of Occluded Objects Using Information Fusion
2000年5卷第3期页码：237
纸质出版：2000
DOI： 10.11834/jig.20000312
稿件说明：

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王延平, 袁杰, 廖原, 苏祥芳. 利用信息融合技术的缺损目标识别方法[J]. 中国图象图形学报, 2000,5(3):237. DOI： 10.11834/jig.20000312.

Pattern Recognition of Occluded Objects Using Information Fusion[J]. Journal of Image and Graphics, 2000, 5(3): 237. DOI： 10.11834/jig.20000312.

摘要

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.

Abstract

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.