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A method and system for image description based on bag-of-words model

A technology of image description and bag-of-words model, which is applied in the field of image processing, can solve problems such as inaccurate image description, achieve the effect of reducing information loss and improving accuracy

Active Publication Date: 2017-11-10
重庆市易平方科技有限公司
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Problems solved by technology

[0005] The object of the present invention is to provide an image description method based on the bag-of-words model, aiming at solving the problem of selecting the distance between the feature points and the feature points when the image description method based on the bag-of-words model provided by the prior art is mapped to visual words. The closest visual word as the best solution will make the image description inaccurate

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  • A method and system for image description based on bag-of-words model
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[0021] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in 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.

[0022] Aiming at the problems existing in the prior art, the present invention proposes an image description method and system based on the bag-of-words model. The method and the system apply the fuzzy theory on the basis of the prior art, and convert the distance set into a fuzzy set by using a Gaussian membership function after obtaining the distance set.

[0023] figure 1 The flow chart of the image description method based on the bag-of-words model provided by the present invention is shown, including the following steps:

[0024] S1: Extract feature points from the image to be described.

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Abstract

The invention belongs to the field of image processing and provides an image description method and system based on a bag-of-words model. The method and system apply the fuzzy theory on the basis of the prior art, and use the Gaussian membership function to assign different membership degrees to each visual word after obtaining the distance set, so as to convert the distance set into a fuzzy set, and then use different The visual words of the degree of membership encode the feature points, thereby effectively reducing the information loss problem caused by traditional methods, and thus improving the accuracy of image description.

Description

technical field [0001] The invention belongs to the field of image processing, in particular to an image description method and system based on a bag-of-words model. Background technique [0002] In the field of image processing, image description, as a key technology for image annotation, retrieval, and classification, has attracted more and more researchers' attention. With the development of multimedia, Internet technology and mobile devices, the number of images that need to be processed and recognized is increasing explosively, which puts forward higher requirements for image processing capabilities. As an effective method for image description, the image description method based on the bag-of-words model encodes the underlying features of the image to form a histogram vector to describe the image. It has the characteristics of high processing efficiency and high analysis accuracy, and is especially suitable for large-scale Processing of scale image information. [00...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/66
CPCG06V10/462G06F18/23213
Inventor 李岩山谢维信黄庆华李晓棠高志坚
Owner 重庆市易平方科技有限公司
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