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Image matching method and image matching device

A matching method and image technology, applied in the field of image matching, can solve problems such as slow matching speed, large dependence on gray information, and lower image resolution, so as to offset changes in gray information, reduce the amount of matching calculations, and reduce the number of search positions Effect

Active Publication Date: 2017-05-24
北京城市气象研究院
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  • Abstract
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AI Technical Summary

Problems solved by technology

The problem that this kind of matching method needs to solve is: it is very sensitive to changes in gray level information, illumination changes, and noise, does not make full use of the gray level statistical characteristics, relies heavily on the gray level information of each point, and is not suitable for matching objects with rotation and Matching issues under scaling
Therefore, a matching method based on circular projection was proposed, but it directly compares the similarity at each position of the search map, does not make full use of the gray features of the matching object, has a large amount of calculation, slow matching speed, and does not meet the real-time matching Require
The commonly used image matching method is the pyramid method, although this reduces the amount of calculation and improves the matching speed, but because it uses a hierarchical search method, the resolution of the image is reduced, thereby reducing the matching accuracy

Method used

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  • Image matching method and image matching device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] When performing atmospheric visibility observations, the blackbody and light source calibration positions of the system have a great impact on the visibility observation results. Therefore, the calibration must be accurate to ensure the accuracy of observations. At the same time, the system has high requirements on the matching speed in order to ensure that the atmospheric visibility observation data maintains sufficient density (second level).

[0062] Figure 4 For the calibration flow chart of blackbody and light source in the atmospheric visibility video observation involved in the present invention, specifically comprise the following steps:

[0063] S410 intercepts a frame of visibility video image;

[0064] S420 loads the pre-stored black body template image;

[0065] S430 binary video image and black body template image;

[0066] S440 determines the number and position of candidate matching points;

[0067] S450 locates the center of the search circle accor...

Embodiment 2

[0083] In this example, the template image is:

[0084] Figure 5a is a patch capacitor template image;

[0085] Figure 5b is a chip template image;

[0086] Figure 5c is a template image of a tantalum capacitor;

[0087] The reference image is a board image with various types of noise added (rotation, brightness, contrast and Gaussian noise variation), specifically,

[0088] Figure 6a is the rotating circuit image;

[0089] Figure 6b is a rotated circuit image with Gaussian noise added;

[0090] Figure 6c is the rotating circuit image with brightness variation;

[0091] Figure 6d An image of a rotating circuit with varying contrast.

[0092] Move the three template images 5a, 5b, and 5c to a certain position on the reference image in turn, set them as the centers of the circles according to the geometric shapes of the templates, and search according to the set number of pixels respectively. According to the cross-correlation based on convolution method to p...

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Abstract

The invention provides an image matching method and an image matching device. The image matching method comprises the following steps: cutting a standard image; loading the image into a template image; carrying out binaryzation processing on the image; determining positions and quantity of candidate match points; moving a template to one certain candidate match point; setting a searching window and setting the circle center of the searching window to be a pixel point of a geometrical center of the template in a standard image; setting a radius to a pixel number; roughly matching gray values of all the pixel points according to a set value M and finding a matched position through a cross-correlation method based on convolution; judging whether the matched position is found or not; if not, moving the template to the other candidate match point of the standard image; if so, outputting coordination information of the matched position. The image matching device comprises an image acquisition unit, an image storage unit, an image processing unit and a data outputting unit. According to the image matching method and the image matching device, the influences caused by gray information variation, illumination variation and noises are reduced; the image matching speed, the matching accuracy and the rotation resistance are improved.

Description

technical field [0001] The invention relates to the field of image matching, in particular to an image matching method and device. Background technique [0002] With the development of science and technology, image matching technology is more and more widely used in the field of modern information processing. Commonly used matching methods are image matching methods based on grayscale, which directly use the grayscale information of the image for matching, and use some similarity measurement (such as minimum mean square error, normalized product correlation, SSDA, etc.) Global optimization achieves matching. The problem that this kind of matching method needs to solve is: it is very sensitive to changes in gray level information, illumination changes, and noise, does not make full use of the gray level statistical characteristics, relies heavily on the gray level information of each point, and is not suitable for matching objects with rotation and Matching issues under sca...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 王京丽雷鸣聂凯阮顺贤缪宇鹏
Owner 北京城市气象研究院
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