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Image retrieving comparison method

An image retrieval and comparison technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problems of high feature dimension of SIFT algorithm and time-consuming matching

Inactive Publication Date: 2011-10-12
广州乐庚信息科技有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, the feature dimension of the SIFT algorithm is high, and the matching is time-consuming

Method used

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Embodiment Construction

[0026] Below in conjunction with accompanying drawing, the specific embodiment of image retrieval comparison method of the present invention is described in further detail:

[0027] The image retrieval and comparison method described in the present invention includes.

[0028] Calculate the area pixel average AreaV R :

[0029] Area V R = Σ P ∈ R I ( i , j ) n Formula 1)

[0030] Calculate the area mean square error S R :

[0031] S R = Σ P ∈ R [ I ( ...

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Abstract

The invention belongs to the technical field of processing methods of data of specific function, and solves the problems of storing, expressing and organizing images and rapidly and accurately finding the required image information. The image retrieving comparison method is as following: the cleavage line of the maximum cleavage weight value between two contiguous columns or rows of pixel combinations is used for differentiating the image into M image areas which can not be cleaved in an image area R, and then the M image areas are combined into N image areas which can not be combined to calculate the visual interesting weight value of the image areas which can not be combined to determine the distinct area and the indistinct area. A first image step and a second image step are constructed according to the distinct area to determine characteristic points. The characteristic points and a gradient block image are used for determining the main direction of the characteristic points to carry out normalization processing and determine the characteristic vector of the characteristic points, and match points of two images are found out to be compared. In the image of the indistinct area,characteristic vectors of K dimension of two images are matched, and the similarity degree is judged.

Description

technical field [0001] The invention belongs to the technical field of data processing methods especially suitable for specific functions, and is an image retrieval and comparison method Background technique [0002] Since the 1990s, with the rapid development of computer technology, multimedia technology and Internet technology, more and more people can access and apply digital multimedia more conveniently, quickly and economically. At the same time, the number of digital images in the world is increasing at an alarming rate, and the sources of images are constantly expanding. We obtain gigabytes of digital image information every day. However, the problem people are facing now is no longer the lack of image content, but how to store, express and organize it, and how to quickly and accurately find the image information they need in the vast digital image data. Image retrieval technology is an emerging research area under this background, and its research has very important...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 戴颖萌黄万民崔锦威罗聪郑义平赖风光
Owner 广州乐庚信息科技有限公司
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