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Insulator string automatic positioning method based on image feature point collineation and equidistant constraint

A technology of image feature points and insulator strings, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve the problems of not considering the shape characteristics of insulator strings in binary images, high computational complexity, and low precision, and achieve Improve automation performance, high positioning accuracy, and solve the effect of low accuracy

Active Publication Date: 2015-11-18
NORTH CHINA ELECTRIC POWER UNIV (BAODING)
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AI Technical Summary

Problems solved by technology

[0004] In complex, noisy, and low-resolution aerial images, the existing insulator string location methods have limitations such as low accuracy, mislocation, and high computational complexity, and do not consider the shape characteristics of the insulator string in the binary image

Method used

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  • Insulator string automatic positioning method based on image feature point collineation and equidistant constraint
  • Insulator string automatic positioning method based on image feature point collineation and equidistant constraint
  • Insulator string automatic positioning method based on image feature point collineation and equidistant constraint

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Embodiment 1

[0060] Such as figure 1 As shown, a method for automatic positioning of aerial insulator strings based on collinear and equidistant constraints of image feature points includes the following steps:

[0061] Step a: Image preprocessing: preprocessing the aerial insulator string image to obtain a binary image with smooth edges after filtering noise;

[0062] Step b: Curvature scale space corner point extraction: extract the edge image of the binary image, extract the contour curve from the edge image; calculate the curvature of each pixel point on the contour curve under the scale σ=3, and convert the local The maximum curvature point is used as a candidate corner point; if the curvature value of the candidate corner point is greater than the preset curvature threshold, it is a correct corner point; in the original image, the curvature scale space corner point corresponding to the correct corner point is accurately located.

[0063] Step c: Collinear and equidistant point extra...

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Abstract

The invention discloses an insulator string automatic positioning method based on image feature point collineation and equidistant constraint. The method comprises the steps of image preprocessing, curvature scale space corner extraction, collinear equidistant point extraction, hierarchical clustering and insulator string positioning. According to the invention, the method is simple and practical; insulator string curvature scale space corner collineation and equidistant constraint is used; automatic positioning of an insulator string in any main axis direction in a complex, noisy and low-resolution aerial image is realized; less time is consumed; robustness for partial occlusion and string breakage is realized; and the problems of low accuracy, false positioning and high computation complexity of the existing insulator string positioning method are solved.

Description

technical field [0001] The invention belongs to the field of operation state maintenance of power transmission and transformation equipment, and in particular relates to an automatic positioning method for insulator strings based on collinear and equidistant constraints of image feature points. Background technique [0002] Insulators are indispensable components in power transmission lines, with functions such as mechanical support and electrical insulation. Once the insulator is damaged, it will lose its effective function and cause huge irreparable losses. Therefore, timely detection of insulators is necessary. Automatically locating insulator strings from aerial images is an important prerequisite for realizing their state detection and fault diagnosis. At present, the automatic positioning methods of aerial insulator strings can be roughly divided into four categories: (1) methods based on segmentation, which divide the original image into multiple regions, and mark t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/54
CPCG06V10/20
Inventor 赵振兵刘宁戚银城
Owner NORTH CHINA ELECTRIC POWER UNIV (BAODING)