Automated thresholding in radiographic image for welded joints

Yazid, Haniza and Arof, Hamzah and Yazid, Hafizal (2012) Automated thresholding in radiographic image for welded joints. Nondestructive Testing and Evaluation, 27 (1). pp. 69-80. ISSN 1058-9759, DOI https://doi.org/10.1080/10589759.2011.591795.

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Abstract

Automated detection of welding defects in radiographic images becomes non-trivial when uneven illumination, contrast and noise are present. In this paper, a new surface thresholding method is introduced to detect defects in radiographic images of welding joints. In the first stage, several image processing techniques namely fuzzy c means clustering, region filling, mean filtering, edge detection, Otsu’s thresholding and morphological operations method are utilised to locate the area in which defects might exist. This is followed by the implementation of inverse surface thresholding with partial differential equation to locate isolated areas that represent the defects in the second stage. The proposed method obtained a promising result with high precision.

Item Type:	Article
Funders:	UNSPECIFIED
Additional Information:	University of Malaya, 50603 Kuala Lumpur, MALAYSIA
Uncontrolled Keywords:	Nondestructive testing; Welded joints; Surface thresholding; Fuzzy c means clustering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions:	Faculty of Engineering
Depositing User:	Ms. Jamilah Salleh
Date Deposited:	23 Oct 2014 02:33
Last Modified:	11 Oct 2018 04:03
URI:	http://eprints.um.edu.my/id/eprint/10308

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