Heuristic multi-way line repairing method based on pattern recognition and optimal distribution
An optimal allocation and pattern recognition technology, applied in the fields of artificial intelligence, computer vision, and crack extraction, it can solve problems such as poor timeliness and reliability, impact of crack detection, and severe labor detection consumption, so as to improve accuracy and connection accuracy. rate and improve the connection accuracy
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[0046] A heuristic polyline patching method based on pattern recognition and optimal allocation:
[0047] Crack identification and measurement is to extract the main fracture line and bifurcation line from the captured image, and measure the cosine similarity of the fracture image.
[0048] Step 1: Collect crack images, perform semantic extraction on crack images, extract cracks in crack images, and obtain binary images of trunk cracks and bifurcation line cracks.
[0049] Firstly, crack extraction is performed on the crack image, and finally a binary image is obtained. The crack extraction method is a common technology, and there is no restriction in this step, and the crack extraction can also be performed based on the DNN convolutional neural network. The present invention takes the semantic segmentation DNN as an example: the label is manually marked, and the trunk and bifurcation lines are marked for the multi-line crack image, which is represented by a pixel value of 1,...
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