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Image searching/matching method and system for the same

An image retrieval and matching method technology, applied in the field of image processing, can solve problems such as difficulty in applying massive image retrieval/matching algorithms, and achieve the effect of eliminating mismatches, improving accuracy, and keeping computational efficiency unchanged.

Inactive Publication Date: 2012-06-27
NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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Problems solved by technology

Therefore, the RANSAC method is difficult to apply to massive image retrieval / matching algorithm problems

Method used

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  • Image searching/matching method and system for the same
  • Image searching/matching method and system for the same
  • Image searching/matching method and system for the same

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Embodiment Construction

[0051] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] method embodiment

[0053] According to an embodiment of the present invention, an image retrieval / matching method is provided, figure 1 is a flowchart of an image retrieval / matching method according to an embodiment of the present invention, such as figure 1 As shown, the image retrieval / matching method according to the embodiment of the present invention includes the following processing:

[0054] Step 101, obtain the initial matching feature point sets of the two images.

[0055] For images A and B, use standard local feature descriptor calculation methods, such as SIFT algorithm, SURF algorithm, etc., to obtain local feature points respectively, and represent them with local feat...

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Abstract

The invention discloses an image searching / matching method. The method comprises the following steps of: firstly, resolving an initial matching feature point set of two images, then, judging and eliminating error matching feature point pairs, and judging whether the two images are matched according to the number of the correct matching feature point pairs; wherein the step of judging whether the initial matching feature points are the error matching feature point pairs comprises the following procedures of: in the two images, respectively taking the initial matching feature point as a center, dividing each image into more than two regions, and numbering each region; in the two images, respectively describing the global feature of the initial matching feature point by a vector composed of the number of the region where each of the other initial matching feature points is located; comparing the two vectors, if the similarity of the two vectors meets the requirement, the initial matching feature points are the correct matching feature point pairs. The method of the invention not only is adaptive to the image searching in complex conditions, such as image size variation, image embedding, visual angle variation and the like, but also has higher searching efficiency and recognition accuracy. The invention further discloses an image searching / matching system.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to an image retrieval / matching method and system. Background technique [0002] At present, image local feature point matching has been successfully applied in many fields, such as image registration, target recognition, robot navigation, image retrieval, mobile video search, face recognition, fingerprint recognition, iris recognition, medical image processing, etc. . The feature points in the image (such as edge intersections, corner points, high-entropy regions, scale space maximum points, etc.) have scale invariance, rotation invariance, and gray scale invariance, and are resistant to light, noise, affine transformation, etc. It is robust and can effectively reflect the local stable features in the image. [0003] Commonly used local invariant (Local Invariant) calculation methods, such as SIFT (Scale Invariant Feature Transform, scale invariant feature transformation)...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06F17/30
Inventor 严寒冰李鹏孙波王永建何跃鹰袁春阳刘辉
Owner NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
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