Power equipment target distinguishing method and system based on infrared image

The invention discloses a power equipment target identification method and system based on an infrared image, and relates to the technical field of image recognition, and the method comprises the steps: obtaining an original infrared image of to-be-detected power equipment, and carrying out the prep...

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Bibliographische Detailangaben
Hauptverfasser: ZHANG JIE, WANG CHAOXIA, LI KAILI, SUN CHUANYI, CHU MENGYUAN, GUO SHEN, JIN CAN, YUE ZENGYA, WANG CHENXI, ZHAO SHENG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a power equipment target identification method and system based on an infrared image, and relates to the technical field of image recognition, and the method comprises the steps: obtaining an original infrared image of to-be-detected power equipment, and carrying out the preprocessing of the original infrared image; inputting the preprocessed original infrared image into a pre-trained deep convolutional generative adversarial network, outputting an enhanced initial infrared image, and fusing the enhanced initial infrared image with the original infrared image to obtain a final enhanced infrared image; and constructing an improved YOLOv4 structure based on a YOLOv4 algorithm to obtain a YOLOv4 improved model, inputting the finally enhanced infrared image into the YOLOv4 improved model, and outputting a power equipment target discrimination result. According to the invention, the identification capability of the electrical equipment in severe weather (rainwater or foggy weather) is impro