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Image feature extraction method based on transformed image moment affine invariant

An image feature extraction, affine invariant technology, applied in computing, character and pattern recognition, computer parts and other directions, can solve problems such as poor robustness and increased computational complexity

Active Publication Date: 2022-07-29
南京可信区块链与算法经济研究院有限公司
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Problems solved by technology

[0005] The present invention provides an image feature extraction method based on the modified image moment affine invariant, which can solve the problem of constructing more affine invariants in order to overcome the sensitivity of high-order moments to noise in the existing image invariant feature extraction method. Injection covariant images, which greatly increase the amount of calculation, and the problem of poor robustness of affine invariants of images

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  • Image feature extraction method based on transformed image moment affine invariant
  • Image feature extraction method based on transformed image moment affine invariant
  • Image feature extraction method based on transformed image moment affine invariant

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[0061] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0062] In order to facilitate the understanding of the technical solutions of the embodiments of the present application, before describing the specific implementations of the embodiments of the present application, some technical terms in the technical field to which the embodiments of the present application belong are briefly explained first.

[0063] Geometric Moment: Moment is a concept in probability and statistics. It is a numerical...

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Abstract

The invention discloses an image feature extraction method based on an affine invariant of a transformed image moment, and the method comprises the steps: carrying out the translation transformation of an obtained original image, obtaining a central geometric moment representing the original image, and obtaining a geometric moment under a polar coordinate system through coordinate system transformation. Performing linear transformation on the geometric moment to obtain a first expression of the polar radius moment, performing popularization operation on the first expression to obtain a second expression of the polar radius moment, and replacing the geometric moment in the affine invariant standard formula with the second expression to obtain the affine invariant of the original image. And taking different values of parameters in the affine invariants to obtain image moment invariants of different orders, and obtaining affine invariant features. The problem that original affine invariants are sensitive to noise can be solved, and meanwhile the calculated amount is not increased. Along with the increase of the noise intensity, the method not only can improve the recognition rate of the image moment, but also can improve the robustness of the affine invariant of the image.

Description

technical field [0001] The invention relates to the technical field of image processing and computer vision, in particular to an image feature extraction method based on a transformed image moment affine invariant. Background technique [0002] In the field of computer vision, image invariant feature extraction is widely used. Image moments are an important technique to describe the global features of image shape, and provide a lot of information about different types of image geometric properties, such as size, position, orientation, and shape. This characteristic description ability of image moments is widely used in object recognition and orientation estimation in various image processing, computer vision and robotics fields. [0003] In the prior art, those skilled in the art have proposed a series of methods for constructing affine invariants by using the properties of random variable functions. The transformed affine covariant image is used to extract affine invarian...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V10/40G06V10/30
Inventor 石宁刘春燕姜冲朱晓罡
Owner 南京可信区块链与算法经济研究院有限公司
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