WATER QUALITY IMAGE ANALYSIS METHOD AND SYSTEM BASED ON DEEP LEARNING, AND DEVICE AND MEDIUM

WIPO Patent Application WO/2022/217589

A1

Disclosed are a water quality image analysis method and system based on deep learning, and a device and a medium. A trained restricted Boltzmann machine model is used to acquire a dynamic weight value, and then grayscale processing is performed according to the weight value and a weighted average method, such that the adaptability of a dynamic image to an actual environment is improved, and the accuracy of dynamic image information is improved; then image abnormity determination is performed, such that the impact on the result of water quality analysis caused by the fact that other factors cause an image abnormity is eliminated, and the accuracy of water quality analysis is improved; noise detection and filtering processing are performed, such that the interference prevention capability of the image is greatly improved, the image analysis speed is improved, and the accuracy of water quality analysis is further improved; and normalization processing is performed on all pixel points of a normal image, such that the accuracy of dynamic image information is further improved, and the accuracy of water quality analysis is further improved.

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YAN FENG (CN)
ZENG XIANGJI (CN)
PAN YAN (CN)
YANG JINGYA (CN)
TAN XIANGTIAN (CN)

PCT/CN2021/087813

October 20, 2022

April 16, 2021

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CINF ENG CO LTD (CN)

G01N21/55; G06K9/00; G01N21/59; G06N3/04

CN110687050A	2020-01-14
CN112418128A	2021-02-26
CN111047073A	2020-04-21
CN108169445A	2018-06-15

CHANGSHA ZONEKEY PATENT LAW FIRM (CN)

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