Image matching method and system

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

Active Publication Date: 2018-11-23
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 per...

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Embodiment Construction

[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 invention relates to the field of image matching technology, in particular to an image matching method and system. The image matching method comprises the steps that a, a template image and a to-be-matched image are read, and sparse Fourier transformation is performed on the template image and the to-be-matched image; b, an amplitude spectrum of the template image and an amplitude spectrum ofthe to-be-matched image after sparse Fourier transformation are calculated respectively; c, log-polar transformation is performed on the template image and the to-be-matched image according to the amplitude spectra; and d, phase correlation is performed on the log-polar transformation result of the template image and the to-be-matched image, a rotational angle, a scaling coefficient and a translation quantity are obtained, and matching is performed on the template image and the to-be-matched image according to the obtained rotational angle, scaling coefficient and translation quantity. Throughthe image matching method and system, a high-pass filtering step in traditional Fourier-Mellin transformation is omitted, an error brought by high-pass filtering in a traditional image matching algorithm is avoided, phase correlation done in a later period is more precise, and algorithm intelligence is obviously improved.

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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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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