An image matching method and system

A matching method and image technology, applied in the field of image matching, can solve problems such as filter error, time-consuming, and inaccurate phase correlation, and achieve the effects of accelerated processing speed, accurate phase correlation, and intelligent algorithm improvement

Active Publication Date: 2021-09-21
SHENZHEN INST OF ADVANCED TECH +1
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Problems solved by technology

[0025] To sum up, the existing Fourier transform-based image matching algorithms all perform full-band FFT transform on the image signal and then perform high-pass filtering, which is very time-consuming, and the filter will introduce errors, resulting in inaccurate phase correlation in the later stage.

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  • An image matching method and system

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[0053] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, not to limit the present application.

[0054] see figure 1 , is a flow chart of the image matching method based on fixed sparsity in the first embodiment of the present application. The image matching method based on fixed sparsity in the first embodiment of the present application includes the following steps:

[0055] Step 100: Read the template image t(x, y) and the image to be matched i(x, y) respectively;

[0056] Step 110: Perform two-dimensional sparse Fourier transform on the template image t(x, y) and the image to be matched i(x, y) by using the first sparsity K1 and the second sparsity K2 respectively;

[0057] Ste...

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Abstract

The present application relates to the technical field of image matching, in particular to an image matching method and system. The image matching method includes: step a: read the template image and the image to be matched, and perform sparse Fourier transform on the template image and the image to be matched; step b: calculate the template image and the image after the sparse Fourier transform respectively. The amplitude spectrum of the image to be matched; step c: performing logarithmic polar coordinate transformation on the template image and the image to be matched according to the amplitude spectrum; step d: performing phase transformation on the logarithmic polar coordinate transformation result of the template image and the image to be matched Correlation, obtaining the rotation angle, scaling factor and translation amount, and matching the template image and the image to be matched according to the obtained rotation angle, scaling coefficient and translation amount. This application omits the high-pass filter step of the traditional Fourier-Mellin transform, avoids the error caused by the high-pass filter in the traditional image matching algorithm, makes the phase correlation more accurate in the later stage, and improves the intelligence of the algorithm significantly.

Description

technical field [0001] The present application relates to the technical field of image matching, in particular to an image matching method and system. Background technique [0002] The process of finding a sub-image in another image based on a known template image is called image matching. Image matching is an important part of computer vision, and has a wide range of applications in image stitching, object detection and tracking, video stabilization, video stabilization, video surveillance and other fields. [0003] The phase correlation algorithm is a commonly used image matching method. By calculating the phase difference between the template image and the image to be matched in the frequency domain, the relative position of the template image in the image to be matched is obtained. When there is rotation and scaling between the template image and the image to be matched, only the phase correlation algorithm will cause deviations and errors. It is necessary to use the Fo...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33
CPCG06T2207/20056G06T7/344
Inventor 王卡风须成忠
Owner SHENZHEN INST OF ADVANCED TECH
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