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A comprehensive evaluation index generation method for image registration

A technology of comprehensive evaluation and image registration, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as single-evaluation matching feature point pair root mean square error

Active Publication Date: 2020-07-28
XIDIAN UNIV
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Problems solved by technology

At the same time, the existing evaluation indicators are generally single-evaluation matching feature point pairs (such as single threshold method, root mean square error, etc.), or only evaluate the final registration result (such as mutual information), without matching feature points Evaluation method corresponding to the final registration effect

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  • A comprehensive evaluation index generation method for image registration
  • A comprehensive evaluation index generation method for image registration
  • A comprehensive evaluation index generation method for image registration

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Embodiment Construction

[0052] The specific implementation and effects of the present invention will be further described in detail below with reference to the accompanying drawings.

[0053] refer to figure 1 , the invention discloses a method for generating a comprehensive evaluation index for image registration, and its implementation steps are as follows:

[0054] Step 1, input two images I obtained from the same image sensor for the same region at different times 1 and I 2 , their pixel size is M×N pixels, and the upper left corner of each image is taken as the origin of the coordinates. For the convenience of description, we call the image I 1 is the reference image, called image I 2 is a floating image, then the above two images are denoted as I t ={I t (x,y)|t=1,2; 1tThe maximum row ordinal number and the maximum column ordinal number.

[0055] Step 2: Use any feature point matching algorithm to calculate the set of matching feature point pairs corresponding to the reference image I1 an...

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Abstract

The invention discloses a comprehensive evaluation index generation method for image registration. The method comprises the following steps of: carrying out random selection in initial matching feature points to obtain a subset, and calculating a transformation matrix by utilizing the subset; carrying out a matching error of each matching feature point pair and a mean value of all the matching errors, and obtaining an accumulative error elimination index Z through the amount of former smaller than later; calculating the sum of distances between different matching feature points in a reference image, dividing the reference image into image blocks, and carrying out statistic on differences between proportions of the matching feature points and a maximum value and a minimum value, so as to obtain a distribution index P; calculating a matching quantification error of each matching feature point pair and summing the matching quantification errors so as to obtain a matching quantification error index O; calculating a mean value of matching errors of all the matching feature points and solving a mean value quantification error index R; and combining the indexes Z, P, O and R to calculate a final comprehensive evaluation index RE. According to the method, the problem that RMSE similar evaluation indexes are influenced by the amount of feature points and the mean values of errors.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to an evaluation index for image registration, in particular to a method for generating a comprehensive evaluation index for image registration, which can eliminate the "cumulative error" of feature point matching evaluation, measure the distribution of matching feature point pairs, and measure The matching feature point pairs with different errors have different effects on the registration results, and the measurement results of the matching feature point pairs can be matched with the measurement results of the image registration results. Background technique [0002] Because the same sensor shoots a certain target at different times, or different sensors shoot a certain target, there will be differences in positions, angles, etc., and even image distortion often occurs. This difference and distortion will greatly interfere with image change detection, image splicing and fus...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33
CPCG06T7/33G06T2207/10004G06T2207/30168
Inventor 王桂婷刘辰尉桦钟桦邓成李隐峰于昕伍振军
Owner XIDIAN UNIV
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