Development of Stand Alone Application Tool for Analyzing and Reporting Weld Imperfection Captured by μ-focussed Digital Radiography using MATLAB-based GUI

As an inspection method, new technology using mu -focused digital radiography is nowadays increasingly used in welding or fabrication industry. Compared to film based radiography, digital image can be acquired with high time efficiency and less radiation. However, noises can easily occur due to the...

Full description

Saved in:
Bibliographic Details
Published inJournal of applied sciences (Asian Network for Scientific Information) Vol. 12; no. 7; pp. 612 - 626
Main Authors Manurung, YHP, Nadila, MZPZ, Halim, SA, Abas, S K, Tham, G, Haruman, E, Awaldin, Z
Format Journal Article
LanguageEnglish
Published 01.01.2012
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:As an inspection method, new technology using mu -focused digital radiography is nowadays increasingly used in welding or fabrication industry. Compared to film based radiography, digital image can be acquired with high time efficiency and less radiation. However, noises can easily occur due to the system complexity, parameters sensitivity and environmental effect which can indicate low quality image and can result in difficulty for interpretation. Therefore, a need of an application tool which can improve, analyze and record the image is becoming an urgent task. In this research, an interactive and user-friendly application tool was developed containing important components which can be needed by interpreter or operator to analyze the defects and to record the results. This tool is divided into three important parts, namely: Image Processing Method (IPM), Image Quality Measurement (IQM) method and Radiographic Inspection Report (RIR). This application tool was written by using MATLAB's image processing tool which is further followed by a compilation process using GUIDE toolbox in MATLAB to build a WINDOWS stand-alone application which allows to be executed at any computer without the installation of MATLAB.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ObjectType-Article-1
ObjectType-Feature-2
ISSN:1812-5654
DOI:10.3923/jas.2012.612.626