| 基于主成分分析的快速图像匹配研究 |
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| 引用本文： | 赵鹏,白振兴,范文同. 基于主成分分析的快速图像匹配研究[J]. 电子技术应用, 2010, 36(4) |
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| 作者姓名： | 赵鹏 白振兴 范文同 |
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| 作者单位： | 空军工程大学工程学院,陕西,西安,710038;空军工程大学工程学院,陕西,西安,710038;空军工程大学工程学院,陕西,西安,710038 |
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| 摘 要： | 针对传统图像灰度匹配算法计算量较大的问题,根据特征匹配算法抗干扰性好、速度快的特点,提出一种改进的融合匹配算法。通过实验计算,匹配时间减少到单一使用归一化互相关灰度匹配的60%,甚至更短,满足了快速、准确的图像匹配要求。
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| 关 键 词： | 图像匹配 归一化互相关 主成分分析 |
Research of fast image matching based on PCA |
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| ZHAO Peng,BAI Zhen Xing,FAN Wen Tong. Research of fast image matching based on PCA[J]. Application of Electronic Technique, 2010, 36(4) |
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| Authors: | ZHAO Peng BAI Zhen Xing FAN Wen Tong |
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| Abstract: | According to the characteristics of feature matching algorithm such as anti-jamming and high speed,an improved fusion matching algorithm is proposed to resolve the large calculating problem of traditional gray-scale image matching algorithm. Through experiments,the computing time reduced to 60%or less of the single gray level normalized cross-correlation matching which meets the requirements of fast and accurate image matching. |
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| Keywords: | image matching normalized cross correlation method principal component analysis |
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