Tunnel water leakage area detection and recognition method based on infrared and visible light image fusion
A technology of region detection and image fusion, applied in the field of image processing, can solve the problems of loss of detailed information, high false detection rate, data interference, etc.
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Embodiment 1
[0090] In this embodiment, a method for detecting and identifying water leakage areas in tunnels based on fusion of infrared and visible light images specifically includes the following steps:
[0091] Step 1) using an industrial camera to collect infrared and visible light images inside the area to be measured;
[0092] Step 2) Preprocessing the images collected in step 1) to obtain initial infrared and visible light images; simultaneously registering the infrared and visible light images;
[0093] Step 3) using deep learning technology to fuse the infrared and visible light images obtained after registration in step 2) to form a fusion image;
[0094] Step 4) Carry out target detection of leaking water and elimination of epoxy resin abnormalities on the fusion image obtained in step 3), so as to realize the detection and identification of leaking water inside the tunnel;
[0095] Step 5) Use the inertial navigation system to realize the off-line positioning mark of the leak...
Embodiment 2
[0097] This embodiment is basically the same as Embodiment 1, and the special features are as follows:
[0098] In this example, see Figure 1-Figure 4 , a method for detecting and identifying tunnel water seepage areas based on fusion of infrared and visible light images, which specifically includes the following steps:
[0099] Step 1) using an industrial camera to collect infrared and visible light images inside the area to be measured;
[0100] Step 2) Preprocessing the images collected in step 1) to obtain initial infrared and visible light images; simultaneously registering the infrared and visible light images; the specific implementation steps are as follows:
[0101] Step 2.1) segment the infrared and visible light video data collected from step 1) to obtain the required infrared and visible light images;
[0102] Step 2.2) Perform preprocessing such as noise reduction, equalization, and color inversion on the original infrared and visible light images;
[0103] St...
Embodiment 3
[0167] In this example, if figure 1 As shown, a method for detecting and identifying water seepage areas in tunnels based on fusion of infrared and visible light images includes the following steps:
[0168] a. Use an intelligent detection car equipped with an infrared and visible light industrial camera and an inertial navigation system to collect tunnel data; the tunnel for data collection is a fire-fighting passage and a cable passage in a highway tunnel. These two types of underground passages have poor lighting conditions and are difficult for people to enter. characteristics, so it is selected as the test area;
[0169] b. Segment the collected video frame by frame, select the appropriate frame image as the original image data; at the same time, preprocess the data; first, perform preliminary segmentation on the infrared and visible light images and resize the two types of images, and then take the The pre-adjusted infrared and visible light images are sent to the image...
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