Image description method and system based on bag-of-words model

An image description and bag-of-words model technology, applied in the field of image processing, can solve the problem of inaccurate image description, and achieve the effect of reducing information loss and improving accuracy

An image description and bag-of-words model technology, applied in the field of image processing, can solve the problem of inaccurate image description, and achieve the effect of reducing information loss and improving accuracy

CN104299010AActive Publication Date: 2015-01-21重庆市易平方科技有限公司
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  • Image description method and system based on bag-of-words model
  • Image description method and system based on bag-of-words model
  • Image description method and system based on bag-of-words model

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Embodiment Construction

[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. According to the method and system, the fuzzy theory is applied on the basis of the existing technologies, and different membership degrees are distributed to all visual words through a Gaussian membership function after a distance set is obtained, so that the distance set is converted into a fuzzy set; afterwards, feature points are coded by means of the visual words with the different membership degrees. Thus, the problem of information loss caused by a traditional method is effectively avoided, and then the accuracy of image description is improved.

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

Patent Timeline
21 Jan 2015
Publication
CN104299010A
IPC
G06K9/66
CPC
G06V10/462; G06F18/23213
Inventors
李岩山; 谢维信