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Automatic segmentation of radiographic images in industrial applications

Automatic segmentation of radiographic images in industrial applications Automatic segmentation of radiographic images in industrial applications A technology that utilizes penetrating rays is one of the oldest nondestructive testing methods. Nowadays, the process of radiogram analysis is performed by qualified human operators and automatic systems are still under development. In this work we present advanced algorithms for automatic segmentation of radiographic images of welded joints. The goal of segmentation of a radiogram is to change and simplify representation of the image into a form that is more meaningful and easier to analyse automatically. The radiogram is divided into parts containing the weld line, image quality indicators, lead characters, and possible defects. Then, each part is analysed separately by specialized algorithms within the framework of the Intelligent System for Radiogram Analysis. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Archives of Electrical Engineering de Gruyter

Automatic segmentation of radiographic images in industrial applications

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Publisher
de Gruyter
Copyright
Copyright © 2011 by the
ISSN
0004-0746
DOI
10.2478/v10171-011-0030-7
Publisher site
See Article on Publisher Site

Abstract

Automatic segmentation of radiographic images in industrial applications A technology that utilizes penetrating rays is one of the oldest nondestructive testing methods. Nowadays, the process of radiogram analysis is performed by qualified human operators and automatic systems are still under development. In this work we present advanced algorithms for automatic segmentation of radiographic images of welded joints. The goal of segmentation of a radiogram is to change and simplify representation of the image into a form that is more meaningful and easier to analyse automatically. The radiogram is divided into parts containing the weld line, image quality indicators, lead characters, and possible defects. Then, each part is analysed separately by specialized algorithms within the framework of the Intelligent System for Radiogram Analysis.

Journal

Archives of Electrical Engineeringde Gruyter

Published: Sep 1, 2011

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