Image search method and system

An image search and image technology, applied in the field of image search, can solve the problem of a large amount of information in a single descriptor, and achieve the effects of reduced storage costs, low complexity, and high accuracy

Active Publication Date: 2019-02-05
董志忠
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Problems solved by technology

[0005] Aiming at the above-mentioned technical problems in the related art, the present invention proposes an image search method and system, which can solve the problems of feature accuracy of image descriptors and large amount of information of a single descriptor.

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Embodiment Construction

[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. All other embodiments obtained by persons of ordinary skill in the art based on the embodiments of the present invention belong to the protection scope of the present invention.

[0048] Such as figure 1 , figure 2 , Figure 6 and Figure 7 As shown, the image search method according to the embodiment of the present invention includes the following steps:

[0049] S1 performs curve segmentation on the target image set and the original image respectively;

[0050] S2 extracts feature compacts from each segmented region, and stores feature compact information in a list;

[0051] S3 stores the image information in the image set;

[0052] Specifically, apply for a u...

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Abstract

The invention discloses an image searching method and a system, comprising the following steps: S1, respectively dividing a target image set and a meta image into curves; S2 extracting feature compactness from each region after segmentation; 3, store image information in that image set; S4, calculating Hamming distance between feature compactness of each region in the meta-image and feature compactness of each region in the target image set; S5 searches the resulting image set according to the Hamming distance. The invention has the beneficial effects that the data quantity of the feature descriptor of a single image region is reduced from several hundred K bytes to several K bytes according to the feature coding technology of low bit, low complexity and high accuracy of different featuretypes, thereby greatly reducing the storage cost and improving the search precision.

Description

technical field [0001] The present invention relates to the field of image search, in particular to an image search method and system. Background technique [0002] At present, in the field of image search, firstly, the image recognition method is mainly used to extract the features available for search, and then compared with the sample library one by one, and then the matching result is output. [0003] Some existing image search algorithms extract feature description information from images, and then search through similarity algorithms, which will cause the following disadvantages: the image descriptor information is relatively large, the search accuracy is not enough, and a single feature descriptor information occupies a relatively large memory. [0004] Aiming at the problems in the related technologies, no effective solution has been proposed yet. Contents of the invention [0005] Aiming at the above-mentioned technical problems in the related art, the present in...

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Application Information

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IPC IPC(8): G06F16/583G06K9/62
CPCG06F18/23213G06F18/24
Inventor 董志忠
Owner 董志忠
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