Electric power image data augmentation method based on generative adversarial network

An image data, generative technology, applied in the field of image processing, can solve the problems of small amount of image data collection and inability to meet deep learning, and achieve the effect of improving accuracy, saving manpower and material costs, and having strong program feasibility.

Inactive Publication Date: 2019-11-05
ANHUI JIYUAN SOFTWARE CO LTD +3
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Problems solved by technology

However, since the promotion and application of helicopters, drones and intelligent robots is not long, the amount of image data collected for some fault types (such as damaged bird-proof facilities, dirty insulators, etc.) is small, which cannot meet the needs of deep learning.

Method used

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  • Electric power image data augmentation method based on generative adversarial network
  • Electric power image data augmentation method based on generative adversarial network
  • Electric power image data augmentation method based on generative adversarial network

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Embodiment

[0076] An embodiment of the present invention is provided below, taking the image augmentation of bird-proof facilities in power transmission lines as an example, including the following steps:

[0077] S1: Obtain the original image during power system inspection;

[0078] S2: Perform image processing on the original image, eliminate the interference and influence of noise in the original image, and obtain a high-quality target image;

[0079] S3: Perform feature enhancement on the target image and extract image features;

[0080] S4: The game synthesis of the target image and the background image is performed through the generative confrontation network method to generate new image data.

[0081] The acquisition of original images is carried out through fixed cameras, drones, helicopters or intelligent robots, etc., and the front-end device is used to send back the captured images containing bird-proof facilities to the receiving terminal for collection and arrangement.

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Abstract

The invention discloses an electric power image data augmentation method based on a generative adversarial network. The method comprises the following steps: obtaining an original image during electric power system inspection; performing image processing on the original image, eliminating interference and influence of noise and the like in the original image, and obtaining a high-quality target image; performing feature enhancement on the target image, and extracting image features; and performing game synthesis of the target image and the background image through a generative adversarial network method to generate new image data. According to the scheme, data augmentation is carried out on the power image through the generative adversarial network method, image annotation does not need tobe carried out on the synthesized image, manpower and material resource cost is saved, and meanwhile the synthesis method is scientific, reasonable, high in augmentation result quality, high in efficiency and high in scheme feasibility.

Description

technical field [0001] The invention relates to the technical field of image processing, and specifically designs a power image data augmentation method based on a generative confrontation network. Background technique [0002] As an important infrastructure for people's livelihood and national defense construction, the power grid plays a decisive role in the transmission and distribution of electric energy. In recent years, with the continuous expansion of the scale of my country's power grid, the area covered by transmission lines and substations is also increasing. Therefore, it is particularly important to ensure the safe operation of the power grid. Helicopters, unmanned aerial vehicles and intelligent robots are gradually popularized in power inspection due to their high outdoor operation efficiency, low operation risk and flexible operation, bringing a large amount of inspection images and video data to the power system. Compared with the traditional inspection metho...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06K9/40G06K9/46G06N3/04G07C1/20
CPCG07C1/20G06V20/10G06V10/30G06V10/40G06V10/751G06N3/045G06F18/2411
Inventor 徐海青廖逍徐唯耀陈是同吴立刚梁翀王维佳秦浩应国德王裘潇浦正国宋杰郭锋余江斌韩涛林胜王文清
Owner ANHUI JIYUAN SOFTWARE CO LTD
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