Lightning arrester body identification and segmentation system and method based on convolutional neural network
The invention discloses a lightning arrester body identification and segmentation system based on a convolutional neural network. A graph preprocessing module of the lightning arrester body identification and segmentation system preprocesses a historical lightning arrester infrared image; the data e...
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creator | FAN PENG YING JIANGUO SUN LONG CHENG GUOKAI WEI ZHEN WENG DONGLEI ZHOU QIBO YU MINGJIANG PAN WENPENG ZHANG RONGWEI XIONG JIAJUN LI JUSHAN JIANG JIONG XIE TAO SHEN HOUMING |
description | The invention discloses a lightning arrester body identification and segmentation system based on a convolutional neural network. A graph preprocessing module of the lightning arrester body identification and segmentation system preprocesses a historical lightning arrester infrared image; the data expansion module is used for expanding the preprocessed infrared images of the lightning arrester; a lightning arrester labeling module performs pixel-level labeling on the lightning arrester body in the expanded data set sample; the network parameter setting module sets network learning parameters of the convolutional neural network model; the network training module inputs the labeled data set into a convolutional neural network model with network learning parameters for training to obtain a trained convolutional neural network model; the lightning arrester body recognition and segmentation module transmits a lightning arrester infrared image collected in real time to the trained convolutional neural network model |
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A graph preprocessing module of the lightning arrester body identification and segmentation system preprocesses a historical lightning arrester infrared image; the data expansion module is used for expanding the preprocessed infrared images of the lightning arrester; a lightning arrester labeling module performs pixel-level labeling on the lightning arrester body in the expanded data set sample; the network parameter setting module sets network learning parameters of the convolutional neural network model; the network training module inputs the labeled data set into a convolutional neural network model with network learning parameters for training to obtain a trained convolutional neural network model; the lightning arrester body recognition and segmentation module transmits a lightning arrester infrared image collected in real time to the trained convolutional neural network model</abstract><oa>free_for_read</oa></addata></record> |
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subjects | CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS |
title | Lightning arrester body identification and segmentation system and method based on convolutional neural network |
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