Faster R-CNN-based bridge crack instance segmentation method
A bridge and crack technology, applied in the field of bridge crack instance segmentation based on FasterR-CNN, can solve the problems of low detection efficiency, low efficiency, incomplete cracks, etc.
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[0063] Example: as attached figure 1 Shown, the present invention provides a kind of bridge crack example segmentation method based on Faster R-CNN, and it comprises the following steps:
[0064] Step 1. Construct bridge crack dataset
[0065] 1) First, normalize the collected 2000 images of bridge cracks, and normalize them into bridge crack images with a resolution of 256×256;
[0066] 2) Using geometric transformation, linear transformation, and image filtering algorithm to amplify the number of normalized bridge crack image samples;
[0067] Specifically, in order to ensure the balance of the number of various types of bridge crack images in the data set, for various types of bridge crack images, namely cracked bridge crack images, network bridge crack images, horizontal bridge crack images, longitudinal bridge crack images, The images of bridge cracks of pothole type and bridge images without cracks are all processed. After a series of digital image processing (includin...
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