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Two-dimensional image matching effect evaluation method

A technology of two-dimensional images and evaluation methods, which is applied in image analysis, image data processing, instruments, etc., can solve the problems of inaccurate and objective evaluation of image matching effects, reduce low-efficiency matching operations, etc., to reduce low-efficiency matching operations, Optimizing the effect of match quality

Inactive Publication Date: 2014-05-14
CHINA UNIV OF MINING & TECH (BEIJING)
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Problems solved by technology

[0010] The invention provides a method for evaluating the matching effect of two-dimensional images. The method is an evaluation index system including six parameters, which can evaluate the matching effect of two-dimensional images, minimize low-efficiency matching operations, optimize matching quality, and solve the problem of Solved the problem that the existing technology cannot accurately and objectively evaluate the image matching effect

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Embodiment Construction

[0044] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0045] The specific steps of a matching effect evaluation method of a two-dimensional image of the present invention are as follows:

[0046] (1) if figure 1 As shown, let I={I(i, j)|1≤i≤m, 1≤j≤n} be the original image, f={f(i, j)|f(i, j)=I(i , j), m 1 ≤i≤m 2 , n 1 ≤j≤n 2} is the image template intercepted, T={T(i′,j′)|1≤i′≤k, 1≤j′≤l} is the target image, and the subfield g={g(i ',j')|g(i',j')=T(i',j'),k 1 ≤i′≤k 2 , l 1 ≤j′≤l 2}, when the two images are taken at the same scale, take k 2 -k 1 =n 2 -n 1 And l 2 -l 1 =n 2 -n 1 ;

[0047] (2) When comparing the template f with the target subdomain g, the gray values ​​at the corresponding points are f(i, j) and g(i+u, j+v) respectively, where u=k 1 -m 1 , v=l 1 -n 1 , (u, v) is the relative displacement vector between images of g and f, correspondingly, g can be expressed as g (u,v) , accor...

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Abstract

The invention relates to the field of optical measurement and target recognition, and particularly relates to a two-dimensional image matching effect evaluation method. The method is an evaluation index system containing six parameters, and the larger a simple signal to noise ratio is, the lower the possibility that detection of a main peak is missed is; the larger the cross-sectional area of the bottom of the main peak is, the easier the peak can be found; high matching accuracy can be obtained conveniently through appropriate main peak standard summit cross-sectional area and a larger main peak smoothing coefficient, the shorter the average computing time is, the quicker matching is, and the smaller the average value of matched absolute error vector models is, the higher the matching accuracy is. Due to the fact that six evaluation indexes are used flexibly, an optimal related measure function, an optimal search algorithm, an optimal sub-pixel interpolation method and the like can be determined by using small-range experimental data, in an auxiliary mode, low-efficiency matching operation is reduced to the maximum, and the matching quality is optimized.

Description

technical field [0001] The invention relates to the technical field of digital image matching, in particular to a method for evaluating the matching effect of two-dimensional images. Background technique [0002] Image matching is also called image recognition. This technology has been a research hotspot in the field of engineering in recent decades, because it is the foundation and key technology in many fields. Its application fields include missile guidance, aerial image analysis, assembly line monitoring, traffic management, text recognition, stereo vision, automatic map, experimental mechanics (optical measurement), 3D feature restoration of scenes, medical image processing, non-destructive testing, etc. [0003] Image matching is essentially to find a (class) transformation in the transformation space, so that two or more images of the same scene from different times or different sensors or different perspectives can be spatially mapped. Matching algorithms can be div...

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Application Information

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IPC IPC(8): G06T7/00
Inventor 孙继平洪亮
Owner CHINA UNIV OF MINING & TECH (BEIJING)
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