Rotational invariant image matching based on phase only correlation

A. Şengur, M. Karabatak
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Abstract

In this work, a rotational invariant image template matching method based on log-polar transform and phase only correlation is presented. The method is composed of two stages. While applying the 2nd Hanning window is formed the first stage, several steps, for phase-based rotational image template matching constitutes the second stage. MATLAB is used for computer simulations. We cropped various image templates for matching purposes. We then rotated that template images with 15, 30 45, 60 and 75 degrees respectively and we saved them. Thus, we obtained totally 60 images for 10 different template images. We finally obtained 93.33% matching accuracy.
基于相位相关的旋转不变图像匹配
本文提出了一种基于对数极变换和相位相关的旋转不变图像模板匹配方法。该方法由两个阶段组成。而应用第二汉宁窗形成第一阶段,几个步骤中,基于相位的旋转图像模板匹配构成第二阶段。利用MATLAB进行计算机仿真。我们裁剪了各种图像模板以进行匹配。然后我们分别旋转模板图像15、30、45、60和75度,并保存它们。因此,我们对10个不同的模板图像总共获得了60张图像。最终得到了93.33%的匹配准确率。
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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