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Image retrieval method based on image information extraction and EMD distance improvement

An EMD distance and image retrieval technology, applied in digital data information retrieval, still image data retrieval, neural learning methods, etc., can solve problems such as inconsistency with actual conditions, and achieve the effect of improving image retrieval accuracy and enhancing applicability

Pending Publication Date: 2021-08-10
JIAMUSI UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

However, due to the limitations of the expressive ability of words, the search results often do not conform to the actual situation

Method used

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  • Image retrieval method based on image information extraction and EMD distance improvement
  • Image retrieval method based on image information extraction and EMD distance improvement
  • Image retrieval method based on image information extraction and EMD distance improvement

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Embodiment 1

[0052] This embodiment is a theoretical embodiment of an image retrieval method based on image information extraction and improved EMD distance.

[0053] A kind of image retrieval method based on image information extraction and improved EMD distance in this embodiment, the flow chart is as follows figure 1 As shown, the method includes the following steps:

[0054] Step a, performing dimensionality reduction processing on the image to be retrieved and the image library image;

[0055] Step b, setting the network structure and extracting the image semantic information after dimensionality reduction;

[0056] Step c, improving the EMD distance;

[0057] Step d, using the improved EMD distance in image similarity measurement.

[0058] The specific steps of step a are as follows:

[0059] Step a1: Get the standardized data matrix

[0060] According to image data , get the normalized data matrix of the feature space

[0061]

[0062] in, is the number of samples, is...

Embodiment 2

[0090] This embodiment is an experimental embodiment of an image retrieval method based on image information extraction and improved EMD distance.

[0091] figure 2 The precision rates of image retrieval based on traditional EMD distance and image retrieval based on improved EMD distance are given.

[0092] from figure 2 It can be seen from the figure that the first three image categories are human faces, sky and birds, which are all images with simple backgrounds, and the average retrieval accuracy of the two methods is not much different; the last three image types are houses, animals and Natural scenery, this type is an image with a complex background, and the average retrieval accuracy of the two methods differs greatly. The retrieval accuracy of the method of the present invention is far greater than that of the traditional EMD distance.

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Abstract

The invention relates to the technical field of image retrieval, and discloses an image retrieval method based on image information extraction and EMD distance improvement. The method comprises the following steps: a, carrying out dimension reduction processing on a to-be-retrieved image and an image library image; b, setting a network structure and extracting image semantic information after dimension reduction; c, improving the EMD distance; d, applying the improved EMD distance to image similarity measurement. According to the image retrieval method based on image information extraction and EMD distance improvement, the technical means are interdependent and indispensable, and as a whole, the technical purpose that the content-based image retrieval accuracy cannot be effectively improved when any one means exists is jointly achieved; in addition, according to the method, the image retrieval accuracy can be improved, and the applicability of a retrieval system to complex scenes can be enhanced.

Description

technical field [0001] The invention relates to the field of image retrieval, in particular to an image retrieval method based on image information extraction and improved EMD distance. Background technique [0002] The development of image retrieval is divided into three stages: text-based image retrieval technology, content-based image retrieval technology and semantic-based image retrieval technology. [0003] Text-based image retrieval technology is to manually mark according to human subjective wishes, and then users use text matching to obtain the required information. However, due to the limitations of the expressive ability of words, the search results often do not conform to the actual situation. [0004] Content-based image retrieval technology extracts feature information with the help of computer, and matches the obtained feature information to retrieve the image that the user needs. [0005] Semantic-based image retrieval technology is to further refine the hi...

Claims

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Application Information

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IPC IPC(8): G06F16/583G06F16/55G06K9/62G06N3/04G06N3/08
CPCG06F16/583G06F16/55G06N3/08G06N3/047G06N3/048G06F18/241G06F18/2415Y02D10/00
Inventor 张宁杜云明徐凯歌李晶杜旭
Owner JIAMUSI UNIVERSITY
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