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Image retrieval method

An image retrieval and image technology, applied in the field of information retrieval, can solve the problems of inaccurate retrieval results, time-consuming and labor-intensive, and varied image content, and achieve the effect of improving image processing speed, accuracy, and practicability.

Inactive Publication Date: 2015-07-29
XINYANG NORMAL UNIVERSITY
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Problems solved by technology

This technology has the following two defects: firstly, due to the continuous expansion of the image database, it takes a lot of time and manpower to manually label each image in the database; Connotation, and the process of manually selecting keywords will contain strong subjectivity, which may cause deviations in image understanding and directly affect the retrieval effect of images
Most of the existing content-based image retrieval systems only use a single image retrieval method or use only one type of image features
Therefore, when the query image contains multiple objects or the background is complex, large retrieval errors will be introduced, making the retrieval results inaccurate
Although there is a method of image retrieval based on feature fusion, the method of feature fusion is single, and the retrieval effect is not ideal

Method used

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Embodiment Construction

[0029] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in combination with the embodiments of the present invention and the accompanying drawings. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0030] see figure 1 , in an embodiment of the present invention, an image retrieval method, based on an image library including N comparison images, includes the following steps:

[0031] (1) Extract the texture features of each image in the source image and the image library, specifically including:

[0032] 11) Obtain each image in the source image and the image library, adjust each image in the source image and the image library to be of t...

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Abstract

The invention discloses an image retrieval method. On the basis of an image library comprising N comparison images, the method comprises the following steps: extracting the texture features of a source image and each image in the image library; calculating the similarity degree of texture features of the source image and each image in the image library, and obtaining a first image set according to a first set threshold; extracting the shape features of boundary of the source image and each image in the first image set; calculating the similarity degree of shape features of boundary of the source image and each image in the first image set, and obtaining a second image set according to a second set threshold; obtaining the color features of the source image and each image in the second image set; calculating the similarity degree of color features of the source image and each image in the second image set, and obtaining a third image set according to a third set threshold; arranging and showing images in the third image set. The method combines the similarity degree of texture features, the shape features of boundary and color features of the images, so that the degree of accuracy of image retrieval is greatly improved, and the precision of retrieved results is ensured.

Description

technical field [0001] The invention relates to the technical field of information retrieval, in particular to an image retrieval method. Background technique [0002] With the development of information technology, the application fields of image retrieval are becoming more and more extensive, and it has become an indispensable technology. The important indicators to measure the quality of image retrieval algorithms are time and space complexity besides accuracy. Since the 1970s and 1980s, image retrieval has become a very active research field, mainly using text-based image retrieval technology and content-based image retrieval technology. [0003] Text-based image retrieval technology (TBIR) follows the traditional text retrieval technology. It is difficult to consider the inherent color, texture, shape and other content characteristics of the image itself. Instead, it uses keywords to describe the image. Retrieve related images in the form of . This technology has the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
CPCG06F16/583
Inventor 孙秋菊陈新武王鹏仓玉萍黄文霞薛静刘真马文娟
Owner XINYANG NORMAL UNIVERSITY
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