Method for identifying and positioning power transmission line insulators in unmanned aerial vehicle aerial images

An insulator identification and aerial image technology, applied in the field of image processing, can solve the problems of sample number influence, low robustness, and low detection accuracy, and achieve the effects of improving recognition rate, overcoming marking difficulties, and good performance

Inactive Publication Date: 2016-04-27
CHENGDU TOPPLUSVISION TECH CO LTD
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Problems solved by technology

[0007] The technical problem to be solved by the present invention is to propose a method for identifying and locating transmission line insulators in the aerial images of UAVs, and to solve the problem of low detection accuracy, low robustness, and easy to be affected by samples in the traditional technology. number impact problem

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  • Method for identifying and positioning power transmission line insulators in unmanned aerial vehicle aerial images
  • Method for identifying and positioning power transmission line insulators in unmanned aerial vehicle aerial images
  • Method for identifying and positioning power transmission line insulators in unmanned aerial vehicle aerial images

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Embodiment Construction

[0033] The present invention aims to propose a method for identifying and locating transmission line insulators in aerial images of UAVs, and solves the problems of low detection accuracy, low robustness, and being easily affected by the number of samples in the traditional technology for identifying insulators.

[0034] Because the angle and size of insulators in UAV aerial images will vary with the viewing angle and height of UAV, traditional feature descriptors cannot adapt to insulator detection at different angles. The invention extracts the Gabor features of different scales and directions of the insulator image, so that the extracted feature vector is insensitive to the transformation of the scale and angle of the insulator, and is suitable for the detection of insulators with different postures. In addition, the present invention adopts the random forest algorithm of semi-supervised learning. Compared with supervised learning, the present invention can effectively reduc...

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Abstract

The invention belongs to the technical field of image processing, discloses a method for identifying and positioning power transmission line insulators in unmanned aerial vehicle aerial images, and solves the problems in the prior art that the detection precision of an identification algorithm of the insulators is not high, the robustness is low, and the identification algorithm is easy to be affected by sample number. A group of Gabor wavelet basis with different sizes and different directions and training sample images are taken as convolutions so as to form a group of characteristic vectors which accurately describe sample image texture characteristics. A random forest machine learning algorithm with a semi-supervised learning mode is used to train sample data sets of the known category and the unknown category so as to obtain an insulator identification model. Through the mode from left to right and from top to bottom, a detection window with the same size as the training sample traverses the input images with different sizes. The detection window combining the identification model detects and positions the positions of the insulators in the input images with different sizes. And finally the accurate positions of the insulators in the input image with the original size are determined by using a non-maximum inhibition method.

Description

technical field [0001] The invention relates to a semi-supervised learning random forest algorithm based on Gabor features to realize a method for identifying and locating transmission line insulators in unmanned aerial vehicle images, and belongs to the technical field of image processing. Background technique [0002] As an important part of the national power system, the safety status of transmission lines is related to public safety. Insulators are the most commonly used power equipment in transmission lines. Its function is to prevent the current from returning to the ground, and its performance directly determines the reliability of the power transmission system. [0003] At present, the detection methods of insulator operation status mainly include ultrasonic detection method, infrared temperature measurement method, pulse current method, etc. Most of these methods have disadvantages such as complicated operation, high cost, high risk, and great influence of climate. ...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/13G06V10/449G06F18/285G06F18/2155
Inventor 徐一丹陆宏伟周剑王时丽龙学军
Owner CHENGDU TOPPLUSVISION TECH CO LTD
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