Thresholding techniques and their performance evaluation for weld defect detection in radiographic testing

Authors:
N. Nacereddine;L. Hamami;D. Ziou
Affiliations:
Sign. and Imag. Proc. Laboratory, Research Center in Welding and NDT, Algiers, Algeria;Department of Electronics, Polytechnic National School, Algiers, Algeria;Department of Mathematics and Computer Science, Sherbrooke University, Sherbrooke, Canada
Venue:
Machine Graphics & Vision International Journal
Year:
2006

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Abstract

In non-destructive testing with radiography, a perfect knowledge of the weld defect shape is an essential step to appreciate the quality of the weld and make decision on its acceptance or rejection. Because of the complex nature of the considered images, and in order that the detected defect region represent the real defect as accurately as possible, the choice of the thresholding methods must be made judiciously. In this paper, performance criteria are used to conduct a comparative study of the thresholding methods based on the gray level histogram, the 2D histogram and the locally adaptive approach to weld defect detection in radiographic images.