Image classification method based on category correlated codebook and classifier voting strategy

A classification method and classifier technology, applied to instruments, character and pattern recognition, computer components, etc., to achieve high performance, strong discrimination, and stable discrimination

Inactive Publication Date: 2011-08-17
INST OF AUTOMATION CHINESE ACAD OF SCI
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AI Technical Summary

Problems solved by technology

[0006] In order to solve the difficulties existing in the multi-category classification problem in the prior art, the purpose of the present invention is to be able to gather discriminative local salient area image blocks between categories as a codebook, and to eff

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  • Image classification method based on category correlated codebook and classifier voting strategy
  • Image classification method based on category correlated codebook and classifier voting strategy
  • Image classification method based on category correlated codebook and classifier voting strategy

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Embodiment Construction

[0032] Various details involved in the technical solution of the present invention will be described in detail below in conjunction with the accompanying drawings. It should be pointed out that the described embodiments are only intended to facilitate the understanding of the present invention, rather than limiting it in any way.

[0033] The category-dependent codebook generation method generates a specific codebook for each category of images, so that the coefficient values ​​of the same category of images mapped to this type of codebook are large and show certain regularity, while other categories of images map The coefficients assigned to such codebooks will be relatively small and irregular.

[0034] The classifier ij that classifies the image of the i class and the image of the j class uses the vector link obtained by the training image of the i class in the category-related codebook and the class-related codebook as the training image vector of the i class, and classifi...

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Abstract

The invention discloses an image classification method based on a category correlated codebook and a classifier voting strategy. The method comprises the following steps of: expressing an image as a set of local salient region image blocks by an image data set pre-processing module; generating category correlated codebooks by a category correlated codebook generating module; expressing the image as an image vector by an image vectoring module, and training a classifier between two random categories by selecting the trained image vector and a category tag corresponding to the trained image through a category correlated classifier training module; and finally, determining the category tag of the tested image according to voting results by a classifier-voting-strategy-based tested image classifying module. The category correlated codebook generating module effectively solves the contradiction of dimension disaster caused by over large codebooks and judgment insufficiency caused by over small codebooks; and meanwhile, the category correlated classifier training module also gets rid of the problems caused by sample unbalance in multi-category classification, and the classification performance is improved.

Description

technical field [0001] The invention belongs to the technical field of pattern recognition and information processing, and relates to an image classification method based on category-related codebooks and classifier voting strategies, in particular to an image classification method. Background technique [0002] Due to the low price of digital products such as digital cameras, image and video data can be easily captured and stored in an electronic form that is convenient for computer processing. At the same time, the rapid development of Internet resources makes the majority of users begin to face a huge data resource. It has become unrealistic to simply use manpower to maintain and organize these data. Therefore, developing a technology to effectively organize these personal or corporate image and video data has become a hot issue. However, computers cannot "see" very clearly: they cannot convert the color pixels in an image into a higher-level semantic representation lik...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 张琳波肖柏华王春恒
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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