Ultrasonic detection method for weld defects of longitudinal submerged arc welded pipe based on multi-scale U-Net
A technology of straight seam submerged arc welding and ultrasonic testing, which is applied in neural learning methods, image analysis, image enhancement, etc., can solve the problems of low accuracy and achieve the effect of simple and easy implementation and high detection accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0041] refer to figure 1 The present invention provides a method for ultrasonic detection of weld defects of LSAW pipes based on spectral clustering and multi-scale U-Net fusion, comprising the following steps:
[0042] Step 1, use the spectral clustering algorithm to grid the ultrasonic image of the LSAW pipe weld and assign labels to obtain a superpixel image, including the following processes:
[0043] (1) Using the four-neighbor weighted operator Perform smooth filtering on ultrasound images to filter out relatively fine noise points;
[0044] (2) Define any 2 different pixel points p of the image i (x i ,y i ) and p j (xj ,y j ), which represents the similarity of clustered pixels:
[0045]
[0046] where g i and g j for two pixels p i and p j The pixel gray value of , C s and C c respectively p i and p j The spatial similarity and color similarity of ;
[0047] (3) Assuming that the ultrasound image has N pixels, and the number of superpixels selected...
PUM
Login to View More Abstract
Description
Claims
Application Information
Login to View More 


