| 小波变换在显微热图像位移估计中的应用 |
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| 引用本文： | 关丛荣,金伟其,王吉晖.小波变换在显微热图像位移估计中的应用[J].红外与激光工程,2014,43(8):2780-2785. |
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| 作者姓名： | 关丛荣 金伟其 王吉晖 |
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| 作者单位： | 1.北方工业大学 机电工程学院,北京 100041; |
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| 基金项目： | 北京市自然科学基金(4062029);科技部中小型科技型企业创新基金(06KW1051) |
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| 摘 要： | 针对显微热图像，提出一种基于傅里叶变换的多分辨率位移估计方法。该方法首先对显微热图像进行小波变换，再将原始图像及小波变换后的各个近似分量生成一个基于灰度的金字塔序列图像，然后基于傅里叶变换位移估计算法分别对金字塔各层序列图像进行位移估计，最后将得到的各层序列图像位移量按照分层权重进行加权平均得到最后的图像序列位移量，实验结果表明:该方法有效地提高了显微热图像微位移估计精度，降低了位移估计的平均误差和方差。
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| 关 键 词： | 显微热图像 位移估计 小波变换 傅里叶变换 亚像素 |
| 收稿时间： | 2013-12-10 |
Application of wavelet transform on micro thermal imaging displacement estimation |
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| Institution: | 1.College of Mechanical Electronical and Engineering,North China University of Technology,Beijing 100041,China;2.Key Laboratory of Photoelectronic Imaging Technology and System,Ministry of Education of China,School of Optoelectronics,Beijing Institute of Technology,Beijing 100081,China |
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| Abstract: | According to micro thermal imaging, multiresolution displacement estimation based on Fourier transform was put forward. First micro thermal imaging was changed by wavelet transform, and a gray pyramid was built by the wavelet transform of image sequence. And the displacement components of each layer was estimated with Fourier transform. Then the final image sequence displacement was obtained by arithmetic layered weighted mean of all layers. The experimental results show that this method can effectively improve the micro thermal imaging displacement estimation accuracy, and reduce the average error and standard deviation mean. |
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