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 下载: 1120次

Image Registration Based on Spectral and Spatial Feature Matching
作者单位
1 深圳大学电子科学与技术学院, 广东 深圳 518060
2 深圳技术大学大数据与互联网学院, 广东 深圳 518118
摘要
针对特征点不明显的图像配准场景,在保证相邻两幅待配准图像重叠面积超过80%的前提下,提出了一种基于频谱和空域特征匹配的配准算法。该算法基于傅里叶频谱图的旋转中心不变性,将空域中两幅图像绕任意一点的旋转角转化成频域中绕频谱图中心的旋转角。利用极坐标系和笛卡尔坐标系的变换关系,将绕频谱图中心的旋转量转化为一维方向的平移量,使用SAD(Sum of Absolute Difference)算法求取旋转角,再使用SAD算法求取平移矩阵。所提配准算法既适用于特征点明显的图像配准场景,也适应于特征点不明显的图像配准场景,且配准精度较高,配准速度较快。
Abstract
Aiming at image registration scenes with inconspicuous feature points, we proposed a registration algorithm based on spectral and spatial feature matching to ensure that the overlapping area of two adjacent images to be registered exceeds 80%. Based on the invariance of the rotation center of the Fourier spectrogram, the rotation angle of the two images in the spatial domain around any point was converted into the rotation angle around the center of the spectrogram in the frequency domain. Using the transformation relationship between the polar and Cartesian coordinate systems, the degree of rotation around the center of the spectrogram was converted into a one-dimensional translation, and the rotation angle was obtained using the SAD (Sum of Absolute Difference) algorithm. The SAD algorithm was then applied to determining the translation matrix. The proposed registration algorithm proposed would be suitable for image registration scenes with both inconspicuous and obvious feature points. Moreover, it was characterized by a high speed and registration accuracy.

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.

本文已被 2 篇论文引用
被引统计数据来源于中国光学期刊网
引用该论文: TXT   |   EndNote

相关论文

加载中...

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!