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Image retrieval method based on content improved Average Hash

An image retrieval and improved technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve problems such as texture deviation and influence, and achieve the effect of reducing calculation time

Inactive Publication Date: 2016-08-31
ZHEJIANG SCI-TECH UNIV
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Problems solved by technology

However, it is greatly affected by the image resolution. When the image resolution changes, the calculated texture may have a large deviation.

Method used

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  • Image retrieval method based on content improved Average Hash
  • Image retrieval method based on content improved Average Hash
  • Image retrieval method based on content improved Average Hash

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Embodiment Construction

[0031] In order to describe the present invention more specifically, the technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0032] The characteristics of content-based image retrieval: (1) Content-based retrieval changes the traditional state of relying on text annotation, and relies on image feature values ​​for retrieval, making retrieval more convenient and fast, and more effectively meeting people's needs. (2) Since the matching technique adopted is not exact, but approximate, it has a good retrieval effect on images with the same content but different sizes and directions, and makes the images have better correlation. (3) In the large-scale picture database used in practice, the number of pictures is huge and there are various types, which requires the retrieval system to have the ability to quickly and accurately perform large-scale retrieval. (4) Have effective feedback...

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Abstract

The present invention discloses an image retrieval method based on content improved Average Hash. According to the method, the size of an image is reduced, grey-scale map processing is performed on the image, characteristics of a target image are obtained through repeated discrete cosine transform and Hash calculation processing; and matching operation is performed on the obtained characteristics and characteristics in an image characteristic library through similarity detection, and a retrieval result is obtained. By adoption of the method, a general image library can be effectively retrieved, and the detection effect is good; and certain deformed images can also be well tolerated.

Description

technical field [0001] The invention belongs to the technical field of image retrieval, and in particular relates to an image retrieval method based on content-improved mean hash. Background technique [0002] In recent years, with the rapid development of network and computer technology, society has entered the era of network data marked by big data. In recent years, many top international journals have successively published special issues to discuss the research on big data. Research on network data plays an important role in maintaining social stability, promoting social development, enhancing industry competitiveness, promoting emerging strategic industries, and scientific research methodology. The important part of network data—image, as multimedia information with rich information content, has become more and more mainstream of network data with the increasing popularity of the Internet and the continuous development of network technology. Coupled with the rapid deve...

Claims

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Application Information

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IPC IPC(8): G06F17/30
CPCG06F16/583
Inventor 黄文清吴强戴佳哲尤辉梅力
Owner ZHEJIANG SCI-TECH UNIV
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