光子学报, 2019, 48 (7): 0710001, 网络出版: 2019-07-31   

基于邻域向量主成分分析图像增强的弱小损伤目标检测方法

A Method for Detecting Small and Weak Defect Targets Based on Neighborhood Vector PCA Image Enhancement
作者单位
1 中国科学院西安光学精密机械研究所, 西安 710119
2 中国工程物理研究院 激光聚变研究中心, 四川 绵阳 621900
引用该论文

王拯洲, 李刚, 王伟, 夏彦文, 王力, 谭萌. 基于邻域向量主成分分析图像增强的弱小损伤目标检测方法[J]. 光子学报, 2019, 48(7): 0710001.

WANG Zheng-zhou, LI Gang, WANG Wei, XIA Yan-wen, WANG Li, TAN Meng. A Method for Detecting Small and Weak Defect Targets Based on Neighborhood Vector PCA Image Enhancement[J]. ACTA PHOTONICA SINICA, 2019, 48(7): 0710001.

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王拯洲, 李刚, 王伟, 夏彦文, 王力, 谭萌. 基于邻域向量主成分分析图像增强的弱小损伤目标检测方法[J]. 光子学报, 2019, 48(7): 0710001. WANG Zheng-zhou, LI Gang, WANG Wei, XIA Yan-wen, WANG Li, TAN Meng. A Method for Detecting Small and Weak Defect Targets Based on Neighborhood Vector PCA Image Enhancement[J]. ACTA PHOTONICA SINICA, 2019, 48(7): 0710001.

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