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Differentiation between coal and stone through image analysis of texture features

  • David M. Hobson
  • , Robert M. Carter
  • , Yong Yan*
  • , Zhixin Lv
  • *Corresponding author for this work
  • University of Kent
  • Shandong University

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

Abstract

In electrical power generation there are many problems that may be solved through the application of image analysis. The presence of non ore gangue materials mixed with coal can have an impact on the combustion efficiency and emissions of power plants. Also known as tailings, often these materials are a hazardous byproduct of mining. Differentiation between coal and gangue is desirable for fuel quality control and yield analysis. This research aims to develop a digital imaging and image analysis technique for this purpose. Material samples are analysed through a process of image acquisition and digital processing. Differentiation is found possible between varieties of bituminous coal and associated gangue and stone materials using intensity values and a range of surface texture properties.

Original languageEnglish
Title of host publicationProceedings of the 2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07
PublisherIEEE Computer Society
ISBN (Print)1424409659, 9781424409655
DOIs
StatePublished - 2007
Externally publishedYes
Event2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07 - Cracovia, Poland
Duration: 4 May 20075 May 2007

Publication series

NameProceedings of the 2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07

Conference

Conference2007 IEEE International Workshop on Imaging Systems and Techniques, IST'07
Country/TerritoryPoland
CityCracovia
Period4/05/075/05/07

Keywords

  • Coal
  • Edge detection
  • Gangue
  • Image processing
  • Texture analysis

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