激光与光电子学进展, 2020, 57 (2): 021005, 网络出版: 2020-01-03
基于频谱和空域特征匹配的图像配准算法 
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Image Registration Based on Spectral and Spatial Feature Matching
图 & 表
图 1. 两幅图像的频谱图。(a)(b)极坐标系下的频谱图;(c)(d)直角坐标系下的频谱图
Fig. 1. Spectrograms of two images. (a)(b) Spectrograms in polar coordinate system; (c)(d) spectrograms in rectangular coordinate syatem
图 4. 函数S取值最小时两幅待配准图像的相对位置
Fig. 4. Relative position of two images to be registered when value of function S is the smallest
图 5. 采用本文算法对两幅特征不明显的图像进行配准后的图像。(a)重叠区域灰度差均值为6.4564×10-4的图像; (b)重叠区域灰度差均值为8.0699×10-4的图像
Fig. 5. Registered images of two images with inconspicuous features. (a) Gray difference mean value of overlapped area is 6.4564×10-4; (b) gray difference mean value of overlapped area is 8.0699×10-4
图 7. 两幅图像的频谱图。(a)(b)极坐标系下的频谱图;(c)(d)直角坐标系下的频谱图
Fig. 7. Spectrograms of two images. (a)(b) Spectrograms in polar coordinate system; (c)(d) spectrograms in rectangular coordinate system
图 8. 直角坐标系下两幅频谱图进行SAD后得到的相似度曲线
Fig. 8. Similarity curve of two spectrograms in rectangular coordinate system obtained by SAD
图 9. 进行SAD粗匹配和精匹配得到的灰度差曲线。(a)粗匹配;(b)精匹配
Fig. 9. Gray level difference curves obtained by coarse matching and fine matching of SAD. (a) Coarse matching; (b) fine matching
陈泽锋, 吴庆阳, 陈顺治, 李奇锋, 卢晓婷, 黄浩涛. 基于频谱和空域特征匹配的图像配准算法[J]. 激光与光电子学进展, 2020, 57(2): 021005. Chen Zefeng, Wu Qingyang, Chen Shunzhi, Li Qifeng, Lu Xiaoting, Huang Haotao. Image Registration Based on Spectral and Spatial Feature Matching[J]. Laser & Optoelectronics Progress, 2020, 57(2): 021005.
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