Dam surface defect classification model training method and device

A defect classification and model training technology, applied in image analysis, character and pattern recognition, image data processing, etc., can solve the problem of low recognition accuracy of classification models, and achieve the effect of high accuracy, accurate parameters, and high recognition accuracy

Active Publication Date: 2019-12-13
JIALING RIVER TINGZIKOU WATER RESOURCES & HYDROPOWER DEV
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Problems solved by technology

[0004] The object of the present invention is to provide a dam surface defect classification model training method and device to improve the low recognition accuracy of the trained dam surface defect classification model in the prior art

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  • Dam surface defect classification model training method and device
  • Dam surface defect classification model training method and device

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[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. The components of the embodiments of the invention generally described and illustrated in the figures herein may be arranged and designed in a variety of different configurations.

[0019] Accordingly, the following detailed description of the embodiments of the invention provided in the accompanying drawings is not intended to limit the scope of the claimed invention, but merely represents selected embodiments of the invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art wi...

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Abstract

The embodiment of the invention relates to the technical field of dam surface detection, and provides a dam surface defect classification model training method and device, and the method comprises thesteps: obtaining a dam surface image, carrying out the augmentation of the dam surface image, and obtaining a plurality of augmented images containing all contents of the dam surface image; performing image enhancement on each augmented image to obtain a plurality of enhanced images containing edge feature information; obtaining a defect classification label of each enhanced image; and training apre-established dam surface defect classification model by using the plurality of enhanced images and the defect classification label corresponding to each enhanced image to obtain a trained dam surface defect classification model. Compared with the prior art, the dam surface defect classification model training method and device provided by the embodiment of the invention can improve the identification precision of the dam surface defect classification model, thereby improving the accuracy of dam surface defect classification.

Description

technical field [0001] The invention relates to the technical field of dam surface detection, in particular to a method and device for training a dam surface defect classification model. Background technique [0002] The normal operation of dams and other water control infrastructure is one of the important factors to ensure the quality of people's livelihood and develop the economy. Therefore, the regular inspection and maintenance of water conservancy infrastructure has become an indispensable part of ensuring the sustainable development of water conservancy projects, and it has also become the main challenge faced by engineers. [0003] Existing deep learning methods usually mark the sample pictures to be trained, and then use the marked training sample pictures to train the deep classification model. When the number of training sample pictures in the training sample set is not sufficient, the existing model training method is used for training, and the parameters of the...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T3/00G06T5/20G06T7/00G06T7/13G06T7/90
CPCG06T7/0002G06T7/13G06T7/90G06T5/20G06T3/0006G06F18/214
Inventor 吕庭彦陈荣敏曹海涛刘林元李博王皓冉李永龙
Owner JIALING RIVER TINGZIKOU WATER RESOURCES & HYDROPOWER DEV
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