Charged insulator string icing bridging degree intelligent image analysis method

An intelligent image and analysis method technology, applied in the field of image analysis, can solve the problem of effective information loss and other issues

Pending Publication Date: 2016-04-20
CHINA ELECTRIC POWER RES INST +2
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] In order to overcome the above-mentioned defects, the present invention proposes an intelligent image analysis method for the ice-cover

Method used

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  • Charged insulator string icing bridging degree intelligent image analysis method
  • Charged insulator string icing bridging degree intelligent image analysis method
  • Charged insulator string icing bridging degree intelligent image analysis method

Examples

Experimental program
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Embodiment

[0101] Example: Set 16*16 non-overlapping windows, calculate the gray level co-occurrence matrix in the four directions of 0°, 45°, 90°, and 135° in the window, so that it satisfies:

[0102] p(i,j,d,0°)=#{(x 1 ,y 1 )(x 2 ,y 2 )∈Nx ×N y |f(x 1 ,y 1 )=i, f(x 2 ,y 2 ) = j;

[0103] x 2 -x 1 =0,|y 2 -y 1 |=d}

[0104] p(i,j,d,45°)=#{(x 1 ,y 1 )(x 2 ,y 2 )∈N x ×N y |f(x 1 ,y 1 )=i, f(x 2 ,y 2 ) = j;

[0105] x 2 -x 1 =-d,y 2 -y 1 = d or x 2 -x 1 =d,y 2 -y 1 =-d}

[0106] p(i,j,d,90°)=#{(x 1 ,y 1 )(x 2 ,y 2 )∈N x ×N y |f(x 1 ,y 1 )=i, f(x 2 ,y 2 ) = j;

[0107] |x 2 -x 1 |=d,y 2 -y 1 =0}

[0108] p(i,j,d,135°)=#{(x 1 ,y 1 )(x 2 ,y 2 )∈N x ×N y |f(x 1 ,y 1 )=i, f(x 2 ,y 2 ) = j;

[0109] x 2 -x 1 =d,y 2 -y 1 = d or x 2 -x 1 =-d,y 2 -y 1 =-d}

[0110] Among them, the symbol #{x} represents the number of elements satisfying the set condition.

[0111] Typical eigenvalues ​​of the gray level co-occurrence matrix, incl...

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Abstract

A charged insulator string icing bridging degree intelligent image analysis method comprises the steps of converting an original image from an RGB color space into an HIS color space, and describing color features thereof; acquiring double-umbrella insulator segmented images; determining an insulator icing region, and acquiring a color feature, a gray feature and a texture feature of an icing insulator; constructing a multi-class SVM classifier, and using the multi-class SVM classifier for training sample classification; automatically detecting disc diameter endpoints of a double-umbrella insulator by combining a defect compensation algorithm and a redundant point deletion algorithm; automatically matching the disc diameter endpoints of the double-umbrella insulator; and screening the disc diameter endpoints of the double-umbrella, determining a contour tracing starting point, and completing the calculation of icing bridging percentage of the double-umbrella insulator. Through the icing bridging percentage intelligent analysis of a double-umbrella suspension insulator image, the invention effectively overcomes the defect of the loss of effective information due to traditional image segmentation.

Description

technical field [0001] The invention relates to an image analysis method, in particular to an intelligent image analysis method for the ice-covered bridging degree of charged insulator strings. Background technique [0002] A measure of the insulator ice edge bridging status defined as the insulator ice edge bridging percentage Such as figure 2 As shown, the insulator is a special insulation control, which plays a very important role in overhead transmission lines. According to the structure, insulators can be divided into: disk type suspension insulators, column type insulators, pin type insulators, etc. [0003] The double-umbrella insulator is an insulator string composed of two equal-diameter insulators. One of its important features is that the diameters of each umbrella disk are equal. [0004] For this type of insulator, only the bridging percentage between the lower edge of the unit insulator and the upper edge of the next unit insulator is calculated, such as ...

Claims

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Application Information

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IPC IPC(8): G06T7/00G06K9/62
CPCG06T7/0004G06T2207/30164G06F18/2411
Inventor 于昕哲周军刘博别红霞别志松刘盼
Owner CHINA ELECTRIC POWER RES INST
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