An Image Recognition Method for Channel Lining Damage Based on UAV Inspection
An image recognition and unmanned aerial vehicle technology, which is applied in image analysis, image enhancement, image data processing, etc., can solve problems such as backward detection methods and detection deviations, and achieve the effect of unmanned and rapid detection
Active Publication Date: 2021-04-06
CHINA INST OF WATER RESOURCES & HYDROPOWER RES
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Problems solved by technology
[0005] The technical problem solved by the present invention is: the existing channel damage detection method is relatively backward, and there is a certain degree of deviation in the detection, thereby providing a channel lining damage image recognition method based on drone inspection
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[0042] The camera carried by the UAV is used to fly at a certain height and viewing angle, and the video information is collected from the lining on both sides of the channel along the axis of the channel with a certain starting point as the reference. Framing the video to obtain independent continuous image information, such as image 3 As shown, the image reflects the order of the video taken by the UAV and the actual information of the river, and then the track coordinate information recorded by the UAV during flight is combined with the time information and matched with the image information, and the location information of the channel can be obtained .
[0043] For the acquired channel image, through dynamic double-window Otsu binarization processing, and then a series of mechanical morphological processing based on structural elements such as expansion, corrosion, and gap filling, to distinguish the lining part of the channel from the non-lining part, and the channel is ...
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The invention discloses a channel lining damage image recognition method based on drone inspection, which belongs to the technical field of road lining damage detection. The invention is based on the dual-window Otsu thresholding method to identify the channel lining part and The non-lining part is binarized and classified, using Canny edge detection, combined with a series of methods such as maximum connectivity threshold and minimum circumscribed moment, to obtain the contour of the channel in the image, and then obtain the damaged part of the channel lining and the damage ratio. The invention uses a channel of a water diversion project to study the damage based on the technology of the drone, and obtains the damage of the channel lining. The invention has the advantages of short time consumption, convenient operation and high effectiveness.
Description
technical field [0001] The invention relates to the technical field of channel lining damage detection, in particular to an image recognition method for channel lining damage based on unmanned aerial vehicle inspection. Background technique [0002] As an important water transmission and distribution structure, the channel is widely used in practical engineering, but when its working environment changes, it will face frost heave damage and other types of damage. Due to the long channel lines and wide distribution range, affected by traffic conditions and climate conditions, it is difficult to detect damage in a timely and accurate manner through traditional manual on-site inspections. In addition, during manual inspection, the inspectors have relatively large subjective factors in judging whether damage occurs and the degree of damage, and there may be certain deviations in judging the damage. Therefore, it is necessary to use some modern means such as drones, cameras and o...
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IPC IPC(8): G06T7/00G06T7/11G06T7/13G06T7/136G06T7/62G06T5/30G06T5/00
CPCG06T5/002G06T5/30G06T7/0002G06T2207/10016G06T2207/30108G06T7/11G06T7/13G06T7/136G06T7/62
Inventor 于沭温彦锋马金龙苏安双王国志张国英邓刚张守杰李兆宇张延亿王宇边京红
Owner CHINA INST OF WATER RESOURCES & HYDROPOWER RES