Shape and color integration insulator identification and defect detection method

A technology for insulator recognition and defect detection, which is applied in character and pattern recognition, image data processing, instruments, etc., can solve the problems of incomplete detection of insulator chip defects and failure to consider the problem of insulator chip off

Active Publication Date: 2017-04-19
上海深邃智能科技有限公司
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  • Abstract
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Problems solved by technology

This method only considers the scene of the chip falling off inside the insulator, but does not consider the chip falling off at both ends of the insulator, and cannot completely detect the chip off defect of the insulator

Method used

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  • Shape and color integration insulator identification and defect detection method
  • Shape and color integration insulator identification and defect detection method
  • Shape and color integration insulator identification and defect detection method

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Embodiment Construction

[0090] The examples of the present invention will be described in detail below in conjunction with the accompanying drawings. The following descriptions are based on the premise of the technical solution of the present invention, and a detailed description is given, but the protection scope of the present invention is not limited to the following examples.

[0091] The present invention can adopt C / C++ programming to realize on the PC of conventional configuration. It is suitable for processing the collected continuous transmission line images. The image format can be bmp or jpg format.

[0092] figure 1 It is an overall flow chart of the present invention.

[0093] figure 2 It is a flowchart of a method for identifying potential insulator regions according to the arrangement characteristics of the insulator sheets and the positional relationship between the insulator sheets and the insulator axis in the present invention.

[0094] 5-1. Perform grayscale processing on th...

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Abstract

The invention relates to a shape and color integration insulator identification and defect detection method. According to the method, a potential insulator region on an unmanned plane inspection image is identified according to insulator sheet arrangement characteristics, an error identification region is further detected according to insulator color significant characteristics, an incomplete-identification insulator region can be compensated according to main color components of an insulator prior knowledge model, and lastly, an insulator chip shell defect is diagnosed according to an insulator sheet position relationship. Through integrating shape and color characteristics of an insulator, the insulator region can be accurately and completely identified from a complex background, the insulator chip shell defect is detected through analyzing the insulator sheet position relationship, and the method can be effectively applied to unmanned plane high voltage transmission line inspection business.

Description

technical field [0001] The invention relates to an insulator recognition and defect detection method based on fusion of shape and color. In particular, it involves extracting line segments in various directions on UAV images, clustering line segments according to the arrangement characteristics of insulator sheets, identifying potential insulator areas, detecting misrecognition areas and compensating for incomplete identification areas through insulator color salience features, and through The positional relationship between adjacent insulator sheets in the image is analyzed to detect insulator drop defects. Background technique [0002] Insulators are one of the most common components in overhead high-voltage transmission lines, and insulators play a very important role in the normal operation of overhead high-voltage lines. Since the insulator is exposed to the field for a long time, it will be eroded by the field environment to a certain extent. Usually, the defects of t...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/90G06K9/62
CPCG06T7/0004G06T2207/30108G06F18/23
Inventor 韩军邱君华
Owner 上海深邃智能科技有限公司
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