Power equipment retrieval method based on deep learning

The invention provides a power equipment retrieval method based on deep learning, and relates to the technical field of image processing. The invention provides a power equipment retrieval method based on deep learning. The power equipment retrieval method comprises the steps of detecting target equ...

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Bibliographic Details
Main Authors XIANG DAO, CHENG MIN, WU XIAO, LIN HUAN
Format Patent
LanguageChinese
English
Published 12.04.2019
Subjects
CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
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Summary:The invention provides a power equipment retrieval method based on deep learning, and relates to the technical field of image processing. The invention provides a power equipment retrieval method based on deep learning. The power equipment retrieval method comprises the steps of detecting target equipment, intercepting an equipment area picture, extracting equipment characteristics, calculating cosine characteristic similarity and determining a final retrieval result. According to the invention, a target detection method in deep learning is combined; according to the method, the device positioning in the device picture and the accurate cutting of the device area are realized, the noise interference of the background picture is reduced, the feature extraction is carried out by adopting thedeep convolutional neural network, the retrieval precision is improved, the retrieval range in the database is reduced through the target detection result, and the retrieval efficiency is improved. Inaddition, the calculation
Bibliography:Application Number: CN201811449544