Recognition Method for Gas Pores on XRay Image of Lap Joints
Based on the Improved Sobel Algorithm

Abstract

Abstract: An adaptive recognition method for inner pores of welded joint was proposed based on Xray image. The Xray image templates were designed and established through local dynamic threshold method. The weld edge was extracted and marked from complicated background through improved Sobel algorithm. The gray gradients of original image in both x and y directions were investigated in the marked zone. The recognition capability for small pores and adhesive pores was enhanced. Application results showed that the proposed method had satisfied recognition capability, detection precision and response speed. It could effectively solve the problems of manual detection and provide platform for data storage and query.

Key words: welded joint, Xray image, gas pores, dynamic threshold, gray gradient

CLC Number:

TP 391

JIANG Huajuna,CAI Yana,b,LI Chaohaoa,LI Fanga,b,HUA Xueminga,b. Recognition Method for Gas Pores on XRay Image of Lap Joints
Based on the Improved Sobel Algorithm[J]. Journal of Shanghai Jiaotong University, 2017, 51(6): 665-671.

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