Method for describing power pole image based on texture clustering

A tower image and clustering technology, applied in electrical digital data processing, special data processing applications, instruments, etc., can solve the problems of complex texture information of power tower images, difficult to effectively represent power towers, etc. Global search ability, slow change speed, effect of improving description speed

Inactive Publication Date: 2012-12-19
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

However, due to the different types of power towers and the complex image texture information containing power towers
Previous feature description methods are difficult to effectively represent power towers

Method used

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  • Method for describing power pole image based on texture clustering

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Embodiment Construction

[0022] For the purpose of the invention, the present invention proposes a texture clustering-based power tower image description method to effectively describe the shape and texture features of different types of power towers and improve the clustering convergence speed and global search ability To accelerate the generation of the codebook, and thus speed up the description of the power tower in the inspection image, while reducing the space complexity. It saves a lot of precious time for further power tower detection. The invention will be described in further detail below in conjunction with the accompanying drawings and specific implementation examples.

[0023] Such as figure 1 As shown, the image description method for power towers based on texture clustering includes the following steps:

[0024] 1) Region block division and representation based on bag of words model:

[0025] In order to represent an image, the image can be regarded as a document. Likewise, the "wor...

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Abstract

The invention discloses a method for describing a power pole image based on texture clustering, belonging to the technical field of description of the power pole. The method comprises the steps of: firstly, generating codebooks from a training sample; then carrying out convolution on the codebooks and test images to generate correlation surfaces, selecting the correlation surfaces which has the largest similarity with the codebooks to form a prototype distribution diagram of the power pole, and presenting the prototype distribution diagram into a column diagram, i.e., tensor; and finally, quantifying the tensor into a correlation surface set descriptor which has a fixed size and can be used in a classifier. The method has the beneficial effects that a real image containing the power pole, obtained by polling various overhead power lines, is used as experimental data to verify that the method is suitable for the description of the power pole in rich texture; and the description is accurate, and the computation complexity is low.

Description

technical field [0001] The invention mainly belongs to the technical field of description of electric towers, and in particular relates to an image description method for electric towers based on texture clustering. Background technique [0002] The reliable operation of the power transmission system in today's society is already an important prerequisite for the normal production and life of the people. Therefore, it is self-evident that the power transmission system provides reliable and high-quality power energy. However, the main methods used for long-distance transmission and distribution lines are high-voltage and extra-high-voltage overhead lines. The power company conducts regular inspections on line equipment, especially power towers and power lines, to ensure the safe and stable operation of the power transmission system and the normal and orderly progress of national production. [0003] Collecting the operating status data of overhead power lines and regularly ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F19/00
Inventor 吴华叶文柳长安杨国田刘春阳
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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