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Insulator contour detection method based on hybrid ant colony algorithm

An ant colony algorithm and contour detection technology, applied in the direction of calculation, calculation model, computer parts, etc., can solve the problem that the initial parameters of algorithm performance have a large influence

Active Publication Date: 2020-07-17
STATE GRID SHAANXI ELECTRIC POWER RES INST +4
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Problems solved by technology

Among many algorithms, the ant colony algorithm has a better effect in the field of image segmentation because of its strong search ability, but its algorithm performance is greatly affected by the initial parameters, and the initial parameters are usually corrected by a large number of experimental parameters. large uncertainty

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  • Insulator contour detection method based on hybrid ant colony algorithm
  • Insulator contour detection method based on hybrid ant colony algorithm
  • Insulator contour detection method based on hybrid ant colony algorithm

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Embodiment Construction

[0051] In order to make the purpose and technical solution of the present invention clearer and easier to understand. The present invention will be further described in detail below in conjunction with the drawings and embodiments. The specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0052] The invention proposes an insulator profile detection method based on a hybrid ant colony algorithm, uses the ant colony algorithm to segment the target insulator image, and uses the particle swarm algorithm to optimize parameters, which has certain significance for improving the accuracy and adaptability of the insulator profile detection.

[0053] A method for detecting the contour of an insulator based on a hybrid ant colony algorithm, comprising the following steps:

[0054] Step 1: Collect insulator images;

[0055] Step 2: Grayscale the insulator image collected in step 1 according to the following formula to ob...

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Abstract

The invention discloses an insulator contour detection method based on a hybrid ant colony algorithm, and the method comprises the following steps: carrying out the gray normalization of a target insulator image, generating a gray histogram, and carrying out the linear stretching and noise filtering of the gray histogram; using an ant colony clustering algorithm for insulator image segmentation, and using a particle swarm algorithm for parameter optimization of clustering center number and radius. According to the method, the target insulator image can be accurately segmented, support is provided for fault detection of the insulator, and normal operation of a power system is guaranteed.

Description

technical field [0001] The invention belongs to the technical field of insulator image recognition, and in particular relates to an insulator contour detection method based on a hybrid ant colony algorithm. Background technique [0002] At present, the scale of my country's power grid continues to expand. As a fault-prone device in the power system, insulators determine whether the transmission line can operate safely to a certain extent. Therefore, as a prerequisite for the detection of the operating status of insulators, the contour detection of insulators has always been researched. Hotspots; the traditional insulator profile detection method is usually the ground visual method, which not only has low accuracy, but also consumes a lot of time, manpower and material resources; in recent years, with the continuous development of drone technology and image recognition technology, no The application of man-machine inspection in power system is gradually popularized. The insulat...

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Application Information

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IPC IPC(8): G06T7/00G06K9/34G06K9/46G06K9/62G06N3/00
CPCG06T7/0004G06N3/006G06V10/267G06V10/44G06F18/23211Y04S10/50
Inventor 孙浩飞琚泽立吕新良邢伟孙鑫侯喆王倩蒲路牛全保李立鹏王森杨博赵学风
Owner STATE GRID SHAANXI ELECTRIC POWER RES INST
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