Weld defect detection using a modified anisotropic diffusion model

Issam Ben Mhamed,Sabeur Abid,Farhat Fnaiech

doi:10.1186/1687-6180-2012-46

Issam Ben Mhamed, Sabeur Abid + Show 1 more

Open Access

https://doi.org/10.1186/1687-6180-2012-46

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Abstract

This article proposes a new modified anisotropic diffusion scheme for automatic defect detection in radiographic films. The new diffusion method allows to enhance, to sharpen anomalies, and to smooth the background of the image. This new technique is based on the modification of the classical diffusion rule by using a nonlinear sigmoidal function. Experimental results are carried out on multiple real radiographic recorded films of Gaz pipelines of the "Tunisian Society of Electricity and Gas distribution: STEG" and the society "Control offices--chemical and industrial analysis laboratories: Saybolt- Tunisia". The new automatic defect detection method shows good performance in comparison with other existing algorithms.

Highlights

Industrial radiography is a well-established technique for the identification and the evaluation of defects such as discontinuities, cracks, porosities, burn thru, and lack of penetration found in welded joints (Figure 1)
These radiographic films are mainly used in petroleum, petrochemical, nuclear, and power generation industries especially for the inspection of welds in the pipelines
We extend the work of Shin-Min Chao and Tsai [14] used to defect detection in TFTLCD screen (Thin Film Transistor–Liquid Crystal Displays) to tackle the problem of defect inspection in radiographic films

Summary

Introduction

Industrial radiography is a well-established technique for the identification and the evaluation of defects such as discontinuities, cracks, porosities, burn thru, and lack of penetration found in welded joints (Figure 1). In [1], the authors proposed a digital image processing algorithm based on a global and local approach for detecting the nature of defect in radiographic images.

Results

Conclusion