Image retrieval method based on symbiotic SURF feature

An image retrieval and image technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of not studying the spatial relationship of multiple SURF features

Inactive Publication Date: 2018-12-07
LIAOCHENG UNIV
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Problems solved by technology

However, this method focuses on a single SURF feature, and does not s

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  • Image retrieval method based on symbiotic SURF feature
  • Image retrieval method based on symbiotic SURF feature
  • Image retrieval method based on symbiotic SURF feature

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[0040] The present invention will be further described in conjunction with the accompanying drawings and specific embodiments. It should be understood that these examples are only used to illustrate the present invention and are not intended to limit the scope of the present invention. In addition, it should be understood that after reading the content taught by the present invention, those skilled in the art may make various changes or modifications to the present invention, and these equivalent forms also fall within the scope defined in the present application.

[0041] This embodiment adopts an image retrieval method based on symbiotic SURF features, and the specific implementation steps are as follows:

[0042] 1. Extract co-occurrence SURF features from the database image and the image to be retrieved respectively.

[0043] In the offline processing process, for the image library I=(I 1 , I 2 ,…I i ..., I N The database image I in ) i , the extracted symbiotic SURF...

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Abstract

The invention discloses an image retrieval method based on symbiotic SURF features in the technical field of computer image processing and pattern recognition. The method includes: firstly, detectinglocal features of a database image and an image to be retrieved, extracting a symbiotic SURF feature from each image, and then quantifying the symbiotic SURF features extracted from the database imageand the image to be retrieved, generating symbiotic visual phrases, and then creating a multi-dimensional inverted index according to the symbiotic visual phrases in the database images, in the inverted index, using the symbiotic visual phrases of the images to be retrieved for similarity searching to find the candidate database images, finally, judging the consistency of the main direction between the images to be retrieved and the candidate database images, and providing the final image retrieval results. The method improves the retrieval accuracy under the condition of guaranteeing the retrieval efficiency.

Description

technical field [0001] The invention mainly relates to the technical fields of computer image processing and pattern recognition, in particular to an image retrieval method based on symbiotic SURF features. Background technique [0002] In the current information age, the collection, acquisition and transmission of images are faster and more convenient, the content of images is richer and more diverse, and the number of images has also shown explosive growth, which has caused people to pay more and more attention to the storage, organization and search of massive images. . In real life, how to quickly and accurately query the most useful information in massive images has become one of the hot research topics. [0003] Image retrieval technology refers to searching in a large-scale image database and finding relevant images that meet the requirements based on text information or image content information. Image retrieval technology is divided into text-based retrieval metho...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 冯德瀛徐戈杨程穆健
Owner LIAOCHENG UNIV
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