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A feature matching method based on local structure similarity

A local structure and feature matching technology, applied in the field of image processing

Active Publication Date: 2019-04-30
ANHUI UNIVERSITY
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Problems solved by technology

[0005] Purpose of the invention: what the present invention is to solve is the problem of insufficient existing matching methods, and proposes a feature matching method based on local structure similarity

Method used

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  • A feature matching method based on local structure similarity
  • A feature matching method based on local structure similarity
  • A feature matching method based on local structure similarity

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Embodiment Construction

[0076] The experimental hardware environment of the present invention is: Intel (R) Core (TM) i5-4590CPU@3.30GHz 3.30GHz, 8G memory, Microsoft Windows7 flagship edition, programming environment is Visual Studio 2015, MATLAB (R2016a) 64, test figure ( See details image 3 The shown experimental matching effect diagram) comes from the multi-target object matching standard image set published on the Internet of Seoul National University (SNU).

[0077] All the images in the SNU image set are selected. There are 6 groups of images to be matched. The image names are Books, Bulletins, Jigsaws, Mickeys, Minnies, and Toys. Each image contains several objects, and there are differences between each object to be matched. The viewing angle transformation, different lighting and different self-variation all make the matching technology using these images face great challenges.

[0078]The present invention compares the accuracy and recall rate with other matching methods on the basis of ...

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Abstract

The invention provides a feature matching method based on local structure similarity. The feature matching method is used for solving the problem that a matching result is not ideal due to noise interference in the image registration process. The method comprises the steps of 1, performing feature extraction and initial matching on two to-be-matched images; Step 2, establishing a neighborhood affine coefficient matrix of the feature points; Step 3, for each matching in the initial matching set, calculating the difference of the neighborhood affine coefficient matrixes of the feature points associated with the matching; 4, optimizing the neighborhood affine coefficient matrix to obtain a local structure difference degree; and 5, setting a comparison threshold value according to the local structure difference value of each matched and associated feature point, and determining a final feature matching pair as a matching relation result of the to-be-matched image. According to the method,the problems of complex optimization process and slow convergence in the prior art are technically solved, and the matching efficiency is effectively improved.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to image processing when the matching is not accurate enough under the influence of image noise, in particular to a feature matching method based on local structure similarity. Background technique [0002] With the rapid development of multimedia technology, images have become an important carrier of information transmission, and digital image processing technology has become more and more important. Among them, image matching technology has become the focus of people's attention in recent years. Because other research directions of digital image processing technology, such as image recognition, image retrieval, object recognition, and object tracking, are further developed on the basis of image matching technology. It can be said that the progress of image matching technology can drive the overall development of digital image processing technology. However, image matching technolo...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T3/00G06K9/62
CPCG06F18/22G06T3/147
Inventor 谭莉汪粼波方贤勇王华彬
Owner ANHUI UNIVERSITY
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