Fourier Based Image Registration for Sub-Pixel Using Pyramid Edge Detection and Line Fitting

Kee-Baek Kim, Jong Soo Kim, Jongsoo Choi
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引用次数: 5

Abstract

Image registration has been widely used in many works of image processing. But it is difficult to find the accuracy information such as translation, rotation, and scaling between images. This paper proposes an algorithm that Fourier based image registration using the pyramid edge detection and line fitting. It is possible to find the registration information of sub-pixel. So, we can find more accurate registration information. The proposed algorithm can be used for image registrations which high efficiency is required such as GIS, or MRI, CT, image mosaicing, weather forecasting, etc.
基于金字塔边缘检测和直线拟合的亚像素图像傅里叶配准
图像配准在图像处理的许多工作中得到了广泛的应用。但是很难找到图像间的平移、旋转、缩放等精度信息。提出了一种基于金字塔边缘检测和直线拟合的傅里叶图像配准算法。可以找到亚像素的配准信息。因此,我们可以找到更准确的注册信息。该算法可用于GIS、MRI、CT、图像拼接、天气预报等对图像配准效率要求较高的领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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