红外与激光工程, 2001, 30 (1): 18, 网络出版: 2006-04-28
基于仿射变换模型的图像配准中的平移、旋转和缩放
Translation,rotation and scaling changes in image registration based affine transformation model
图像配准 仿射变换 平移 旋转 缩放 多传感器 Image registration Affine transformation Translation Rotation Scaling Multisensor
摘要
文中讨论了二维仿射变换的平移、旋转和缩放等特性。对可见光波段和红外波段图像采用基于特征的配准，以边界作为特征进行相关运算，求出边界对应位置的关系，建立仿射变换模型，按照最大相关原则自适应确定最佳配准参数k、θ、Δx和Δy，能够实现图像的自动配准。并利用实际可见光与红外图像给出了运用仿射变换模型的实验结果，表明该模型可有效解决图像配准中的平移、旋转和缩放。
Abstract
In this paper,translation, rotation and scale properties of 2-D affine transformation are discussed.Visual and IR image registration require a feature-based apporach. Establishing affinetransformation and extracting edge points as feature, this method calculates thecross-correlation between edges and searches out the relation of corresponding edgepoints. The maximum correlation principle is involved to adaptively determine the optimalregistration parameters k、θ、Δx and Δy. Experimental results using real visual/IR sensor image arepresented. It is shown that this model is effective in image registration.
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曾文锋, 李树山, 王江安. 基于仿射变换模型的图像配准中的平移、旋转和缩放[J]. 红外与激光工程, 2001, 30(1): 18. 曾文锋, 李树山, 王江安. Translation,rotation and scaling changes in image registration based affine transformation model[J]. Infrared and Laser Engineering, 2001, 30(1): 18.
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