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Image matching method based on improved GMS-ORB feature and storage medium

A matching method and image technology, applied in the field of image processing, can solve the problems of long matching time, unable to meet real-time matching requirements, and many wrong matches, and achieve the effects of optimizing time complexity, improving accuracy, and obvious effects

Active Publication Date: 2020-01-10
CHONGQING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0004] The key point of the image matching algorithm proposed above is that the matching time is too long to meet the real-time matching requirements, and there are many wrong matches in the matching results. A new algorithm is needed to purify the rough matching

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  • Image matching method based on improved GMS-ORB feature and storage medium
  • Image matching method based on improved GMS-ORB feature and storage medium
  • Image matching method based on improved GMS-ORB feature and storage medium

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Embodiment Construction

[0050] The technical solutions in the embodiments of the present invention will be described clearly and in detail below in conjunction with the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0051] The technical scheme that the present invention solves the problems of the technologies described above is:

[0052] Such as figure 1 Shown, the realization process of the present invention comprises as follows:

[0053] Step S1: Input two images and use Fast to roughly extract the feature points of the original image and the image to be matched, select a point P from the image, and draw a circle with a radius of 3 pixels with P as the center. If the gray value of n consecutive pixels on the circumference is larger or smaller than that of point P, then P is considered as a feature point. N is set to 12, first check the gray values ​​at positions 1, 9, 5, and 13, if P is a feature point, then th...

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Abstract

The invention requests to protect an image matching method based on improved GMS-ORB features, and the method comprises the following steps: S1, carrying out the rough extraction of the feature pointsof an original image and a to-be-registered image through employing a Fast method, and obtaining a large number of feature points; S2, using a machine learning method to screen out optimal Fast feature points; S3, constructing a Gaussian pyramid to realize scale invariance of the feature points; S4, realizing rotation invariance of the feature points by using a gray centroid method; S5, describing the feature points extracted from the Fast corner points by using a BRIEF algorithm, and performing feature point rough matching by using a violent matching algorithm based on Hamming distance; andS6, purifying the rough matching by using an improved GMS algorithm, and removing wrong matching to complete image registration. According to the method, the quadtree and the GMS algorithm are combined, the quadtree is used for controlling the number of the grids generated by the GMS, the matching time is shortened, the grids are divided in a targeted mode, and the registration precision is improved.

Description

technical field [0001] The invention belongs to the technical field of image processing, in particular to an ORB feature extraction method, a GMS feature point purification method and a combination of three methods of quadtree segmentation. Background technique [0002] Images are an important source of people's cognition of themselves and the world. With the rise of computer vision, image matching technology has attracted more and more attention as the basis of image processing. At present, many famous scholars at home and abroad are committed to the research of image matching algorithms. There are three main types of image matching methods. The first type is image matching algorithms based on grayscale areas. This type of algorithm mainly operates on the grayscale of image pixels. Calculate the correlation between the geometric sub-regions of the image to perform matching, so as to complete the matching; the second type is an image matching algorithm based on the transform...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/33G06K9/46G06K9/62
CPCG06T7/33G06T2207/20021G06V10/50G06F18/24147
Inventor 庞宇许彦辉
Owner CHONGQING UNIV OF POSTS & TELECOMM
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