Defect detection method based on 2D entropy image segmentation  

作　　者：Chi Dazhao Gang Tie 迟大钊;刚铁(State Key Laboratory of Advanced Welding and Joining,Harbin Institute of Technology,Harbin 150001,China)

机构地区：[1]State Key Laboratory of Advanced Welding and Joining,Harbin Institute of Technology,Harbin 150001,China

出　　处：《China Welding》2020年第1期45-49,共5页中国焊接（英文版）

基　　金：supported by the National Nature Science Foundation of China(51375002,51005056)。

摘　　要：In order to improve the work efficiency of non-destructive testing(NDT)and the reliability of NDT results,an automatic method to detect defects in the ultrasonic image was researched.According to the characterization of ultrasonic D-scan image,clutter wave suppression and de-noising were presented firstly.Then,the image is processed by binaryzation using KSW 2 D entropy based on image segmentation method.The results showed that,the global threshold based segmentation method was somewhat ineffective for D-scan image because of under-segmentation.Especially,when the image is big in size,small targets which are composed by a small amount of pixels are often undetected.Whereas,local threshold based image segmentation method is effective in recognizing small defects because it takes local image character into account.

关 键 词：ultrasonic testing defect detection 2D entropy image segmentation 

分 类 号：TG115.28[金属学及工艺—物理冶金] TP391.41[金属学及工艺—金属学]