Image matching method based on multiscale Fourier-Mellin transform

A technology of Fourier transform and matching method, applied in the field of frequency domain image matching, can solve problems such as matching failure, inability to adapt to scale differences, etc., to achieve the effect of improving robustness

Inactive Publication Date: 2017-05-17
西安汇明光电技术有限公司
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Problems solved by technology

[0005] However, through the simulation analysis of a large number of images, it is found that the image matching based on the traditional Fourier Merlin transform is only robust to scale changes in a small r

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  • Image matching method based on multiscale Fourier-Mellin transform
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[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] refer to figure 1 , providing a flow chart of an image matching method based on multi-scale Fourier Merlin transform for an embodiment of the present invention; the image matching method based on multi-scale Fourier Merlin transform includes the following steps:

[0026] Step 1, obtain the reference image I respectively 1 and the image to be matched I 2 , the reference image I 1 and the image to be matched I 2 are grayscale images respectively, and ...

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Abstract

The invention discloses an image matching method based on multiscale Fourier-Mellin transform. The method comprises the following steps of acquiring a reference image I1 and an image to be matched I2 respectively, determining a Gaussian kernel at a pixel position (x, y) in the I2, and calculating a scale space image pixel value L(x, y, t) at the pixel position (x, y) in the I2; further acquiring a scale space image L(t) of the image to be matched I2, and carrying out bilinear interpolation on the L(t) respectively so as to acquire simulation imaging S(t) after the bilinear interpolation; setting a blank image whose size is the same with the size of the L(t), embedding a gray value of each pixel position in the S(t) into the blank image respectively so as to acquire a multiscale image, and calculating a Fourier-Mellin invariant image of the I1 and a Fourier-Mellin invariant image of the multiscale image S'(t) respectively; and calculating a phase correlation matching image between the scale space images L(t) of the I1 and the I2, calculating a convergent-divergent scale estimation value of a pixel position in the I1 and a rotation angle estimation value of the pixel position in the I1 respectively and then acquiring an optimal matching image of the I2.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a frequency-domain image matching method based on Fourier Merlin transform, which is applicable to target tracking, target recognition, video monitoring, video conferencing, biomedicine, information security, remote sensing and telemetry, and aerospace Or frequency-domain image matching in video multimedia. Background technique [0002] At present, with the continuous popularization of computer vision technology, image matching technology is widely used in various fields, and the requirements for image matching technology are also increasing. Traditional image matching algorithms, such as the mean absolute difference (MAD) algorithm is aimed at The spatial domain is processed pixel by pixel. Although the final matching strategies are described in different ways, the premise of using the algorithm is that the size of the target does not change greatly, and the rel...

Claims

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Application Information

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IPC IPC(8): G06K9/62G06T3/40
CPCG06T3/4007G06F18/213G06F18/22
Inventor 陈冰
Owner 西安汇明光电技术有限公司
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