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红外与可见光图像融合中的快速配准方法
消耗积分:5 |
格式:rar |
大小:169 |
2009-06-30
丁冬芹
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红外与可见光传感器是目标跟踪识别系统中常用的两种传感器,对这两种传感器图像进
行有效的融合能大大提高探测识别的准确性和可靠性。快速准确地实现图像配准是图像融合的前提,为此提出了一种基于小波变换的快速算法,有利于实时准确地实现图像配准。
关 键 词: 图像配准; 图像融合; 小波变换; 特征提取
Abstract : IR sensor and visual sensor are widely used in target detection and recognition system. The correctness and robustness of target detection and recognition can be enhanced with effective fusion of images from the two kinds of sensors. Fast and accurate image registration is the key premise of image fusion. An al2 gorithm of fast image registration based on wavelet transformation is presented which is beneficial for accurately carrying out real time image registration.
Key words : Image registration ; Image fusion ; Wavelet transformation ; Feature extraction
行有效的融合能大大提高探测识别的准确性和可靠性。快速准确地实现图像配准是图像融合的前提,为此提出了一种基于小波变换的快速算法,有利于实时准确地实现图像配准。
关 键 词: 图像配准; 图像融合; 小波变换; 特征提取
Abstract : IR sensor and visual sensor are widely used in target detection and recognition system. The correctness and robustness of target detection and recognition can be enhanced with effective fusion of images from the two kinds of sensors. Fast and accurate image registration is the key premise of image fusion. An al2 gorithm of fast image registration based on wavelet transformation is presented which is beneficial for accurately carrying out real time image registration.
Key words : Image registration ; Image fusion ; Wavelet transformation ; Feature extraction
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2011-07-22
0 回复 举报很好的文章，很有帮助，谢谢。 收起回复
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