Processing of low resolution metal transfer images

Zhenzhou Wang, Yu Ming Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Processing of images for real-time monitoring of metal transfer process is challenging. To address this challenge, the authors analyzed the characteristics of metal transfer images in a novel modification of GMAW (gas metal arc welding), referred to as double-electrode GMAW or DE-GMAW, and proposed an algorithm consisting of a system of effective steps to extract the needed droplet feedback information from high frame-rate low-resolution metal transfer images. Experimental results verified the effectiveness of the proposed algorithm in automatically locating the droplet and computing the droplet size with an adequate accuracy.

Original languageEnglish
Title of host publicationProceedings of the 33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Pages2434-2439
Number of pages6
DOIs
StatePublished - 2007
Event33rd Annual Conference of the IEEE Industrial Electronics Society, IECON - Taipei, Taiwan, Province of China
Duration: Nov 5 2007Nov 8 2007

Publication series

NameIECON Proceedings (Industrial Electronics Conference)

Conference

Conference33rd Annual Conference of the IEEE Industrial Electronics Society, IECON
Country/TerritoryTaiwan, Province of China
CityTaipei
Period11/5/0711/8/07

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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