小径管×射线焊缝图像缺陷识别算法

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Recognition algorithm of small-diameter tube X-ray welding defect image

XIAO Yang1 ，GAO Weixin1，²，DENG Guohao² （1.School of Electronic Engineering，Xi'an Shiyou University，Xi'an 71OO65，China; 2.Key Laboratory of Gas-Oil Logging Technology，Xi'an Shiyou University，Xi’an 710065，China）

Abstract： To address the current situation of low accuracy rate of small-diameter tube welding image defect detection，by combining image feature analysis and sparse dictionary learning，a small-diameter tube welding defect detection algorithm based on image segmentation is proposed.Firstly，using two-step image segmentation way acquires the region of interest which is in small-diameter tube welding image.Secondly，the suspected defectregion is obtained by extracting welding defect.Finally，we propose a mathematical model of the dictionary matrix of small-diameter tube welding defects with the objective of minimizingcorelations between diferent types of atoms and solve it by using K-SVD algorithm. After that，the dictionary matrix is used to clasify circular defects，strip defects and noise. To improve the real-time performance of the system，we use parallel programming to accelerate the image segmentation algorithm.The results show that the recognition rate of the proposed method is O.974 for circular defects and O.967 for strip defects，and the recognition speed is fast，which enables the effctive recognition of defects in small-diameter tube welding image.

Key words： smal-diameter tube;welding defect; image segmentation; sparse dictionary learning

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小径管结构在油气地面装置中的应用十分广泛。（剩余8599字）