摘要
通过计算两幅数字散斑图像降采样后的频谱,得到由一系列筛选脉冲构成的两幅图像交叉能量谱。在对其交叉能量谱进行逆傅里叶变换后,利用亚像素图像配准技术实现对图像的细分。通过分析图像细分过程中所引入的配准误差,得到误差修正模型,使散斑图像相关精度进一步提高。在激光散斑试验图像处理中,利用相关理论和误差修正模型,使激光散斑图配准的精度得到提高。
According to the calculation of the spectrum of two downsampled images,the cross-power spectra were obtained resulting in a series of filtered impulses. And then,the inverse Fourier transformation was applied on the cross-power spectra. Following that,the image subdivision was obtained by the sub-pixel registration technique. The error correction model was set up by analyzing the extra registration error. The results indicate this method can improve the correlation precision for the speckle patterns.
出处
《河南科技大学学报（自然科学版）》
CAS
北大核心
2013年第5期91-95,9-10,共5页
Journal of Henan University of Science And Technology:Natural Science
基金
国家自然科学基金项目(61205086)
关键词
图像细分误差分析
亚像素配准
激光散斑图
error analysis for image subdivision
sub-pixel registration
speckle patterns
