| 用相关矩阵特征判据法实现三重不变光学图像识别 |
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| 引用本文： | 杨葆塘,蓝正平.用相关矩阵特征判据法实现三重不变光学图像识别[J].光学学报,1992,12(1):2-56. |
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| 作者姓名： | 杨葆塘 蓝正平 |
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| 作者单位： | 西北大学物理系 西安710069
(杨葆塘)，西安工业学院 西安710032(蓝正平) |
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| 基金项目： | 国家自然科学基金资助的项目 |
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| 摘 要： | 本文首先在K-L变换中用相关矩阵作为特征判据进行特征压缩,然后用综合判别函数法制备空间综合匹配滤波器,可以有效地压缩特征图像数目.用这种滤波器实现了平移、旋转、尺度三重不变光学图像识别,且有较高的信噪比.
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| 关 键 词： | 信息处理 图像识别 匹配滤波器 |
| 收稿时间： | 1990/11/1 |
Distortion-invariant optical pattern recognition by correlative matrix feature criterion |
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| YANG BAOTANG.Distortion-invariant optical pattern recognition by correlative matrix feature criterion[J].Acta Optica Sinica,1992,12(1):2-56. |
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| Authors: | YANG BAOTANG |
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| Abstract: | In this paper, we used correlative matrix as a feature criterion in K-L transformation for feature compression, and then the synthetic matched filter (SMF) was prepared by means of the synthetic discriminant function (SDF). This method can effectively redued the size of feature image. By this filter, the shift, scale and rotation invariant optical pattern recognition was realized with a high signal noise ratio of correlation output. |
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| Keywords: | information processing optical pattern recognition matched filter computer-generated hologram K-L transformation |
| 本文献已被 CNKI 维普 等数据库收录！ |
