Truck Brake Cylinder Tilt Detection Method Based on Variance Region Segmentation
A technology of area segmentation and tilt detection, applied in the direction of brakes, brake components, brake safety systems, etc., can solve the problems of missed detection and wrong detection, and achieve the effect of avoiding missed detection, improving accuracy and ensuring segmentation effect.
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specific Embodiment approach 1
[0023] Embodiment 1: A method for detecting the inclination of a truck brake cylinder based on variance region segmentation described in this embodiment, the method specifically includes the following steps:
[0024] Step 1. Obtain an image including the brake cylinder;
[0025] Step 2, using the Gaussian blur method to process the image obtained in step 1 to obtain the processed image;
[0026] Step 3, setting the local area threshold as M×N, and dividing the processed image obtained in step 2 into several local area images whose size is M×N;
[0027] Step 4. Segment each local area image obtained in step 3, divide the pixels contained in each local area image into background and target, and obtain the optimal segmentation threshold T of each local area image respectively, The optimal segmentation threshold T maximizes the inter-class variance between the background and the target of the corresponding local area image;
[0028] Step 5. Using T+ΔT as the new segmentation thr...
specific Embodiment approach 2
[0040] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that the image including the brake cylinder obtained in the step 1 is intercepted from the entire truck image based on prior knowledge, and it needs to be extracted The image is resized to a fixed size.
specific Embodiment approach 3
[0041] Embodiment 3: This embodiment differs from Embodiment 2 in that: the whole vehicle image of the truck is obtained by using fixed equipment equipped with a camera or video camera to photograph the running truck.
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